How reliable are “Photons to Photo” data? G9 vs Canon 6DMII

Serguei Palto

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I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.

What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).

How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.

#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
 
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Are you sure you compare apples to apples? You define dynamic range but then take photographic dynamic range as example and try to compare your results with it. Photographic dynamic range is explained here: https://photonstophotos.net/General...ngineering_and_Photographic_Dynamic_Range.htm
Sure, G9 scientific DR is compared with Canon 6DMII scientific DR. It is demonstrated that the scientific DR is in agreement with what we see in real-life images.

The "Photographic DR" (PDR), if it has scientific background, should correlate with the scientific DR (for example, with just some EV-offset), but it doesn't. Thus, I raise the question : "Should we believe PDR, if it provides misleading information on camera performance?"
 
This is very interesting. What I've understood from the articles on the photons-to-photons website is that the basis for the method is the "photon transfer curve" method PTC, which is an industry standard method for characterizing imaging sensors.

(There is scientific literature on PTC and the method is even included in some standards such as "EMVA1288". A google search with "photon transfer method" will provide lots of hits other than the p2p website. And the wikipedia page for EMVA1288 has direct links to the pdfs for the standard, where the method is described also.)

The photon transfer method provides metrics such as read noise, full well capacity, etc. Then Bill Claff's contribution is the definition for "photographic dynamic range" and how it is computed from the lower level metrics.

What could be going on is that some of the assumptions behind the photon transfer curve method are no longer valid for recent cameras. In particular, the method assumes that there is access to the real raw data, as output from the analog to digital converter. The G9II has the configuration with two converters, and results being merged between those two, so perhaps the photon transfer method provides wrong results, since the assumptions behind it are not valid.

This would be a very interesting question to post on the "Photographic Science and Technology" forum. There are quite a few image sensor experts who contribute there: Why the photographic dynamic range results do not seem to agree with other ways of assessing the dynamic range with these cameras? In particular, if the results do not agree with a visual inspection, then there is quite an interesting case, where the technical metric and visual quality are at odds with each other.
 
I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
 
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I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
You conclusion is wrong. See the original post and try to understand why...
 
I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
You conclusion is wrong. See the original post and try to understand why...
At least 50% of my conclusion are very good, I think. About 80% of my conclusion should be safe and correct - feel free to proove me wrong.

Probably only my opinion about your methode is in question. "What does your methode bring to us? I do not see it yet." is true for me but surely not for you. You hope that I convince me later myself. That may or may not happen.
 
This is very interesting. What I've understood from the articles on the photons-to-photons website is that the basis for the method is the "photon transfer curve" method PTC, which is an industry standard method for characterizing imaging sensors.

(There is scientific literature on PTC and the method is even included in some standards such as "EMVA1288". A google search with "photon transfer method" will provide lots of hits other than the p2p website. And the wikipedia page for EMVA1288 has direct links to the pdfs for the standard, where the method is described also.)

The photon transfer method provides metrics such as read noise, full well capacity, etc. Then Bill Claff's contribution is the definition for "photographic dynamic range" and how it is computed from the lower level metrics.

What could be going on is that some of the assumptions behind the photon transfer curve method are no longer valid for recent cameras. In particular, the method assumes that there is access to the real raw data, as output from the analog to digital converter. The G9II has the configuration with two converters, and results being merged between those two, so perhaps the photon transfer method provides wrong results, since the assumptions behind it are not valid.

This would be a very interesting question to post on the "Photographic Science and Technology" forum. There are quite a few image sensor experts who contribute there: Why the photographic dynamic range results do not seem to agree with other ways of assessing the dynamic range with these cameras? In particular, if the results do not agree with a visual inspection, then there is quite an interesting case, where the technical metric and visual quality are at odds with each other.
The DR belongs to the simplest concept in the physical science. There is nothing to discover - just follow the DR definition. The measurement of the read noise is the simplest well defined procedure.... Do we need "photon transfer curve" for DR measurement? No! We even do not need any knowledge on photons, because we deal with the dark noise!

The physical measurements can not be based on some assumptions, they must be independent on any assumptions or models. It is because nothing else but the measurements form the basis for the future models, assumptions and theories - not opposite!

I have read on the PTP-approach at their site. This approach can not be accepted from the scientific point of view for reason I mentioned above. To my mind, PTP approach provides the basis for data manipulation and evidence for this in my original post above.
 
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I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

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#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
You conclusion is wrong. See the original post and try to understand why...
At least 50% of my conclusion are very good, I think. About 80% of my conclusion should be safe and correct - feel free to proove me wrong.

Probably only my opinion about your methode is in question. "What does your methode bring to us? I do not see it yet." is true for me but surely not for you. You hope that I convince me later myself. That may or may not happen.
Ok! You are free to beleave that 50% of your conclusions "are very good". I am free to not convince you more, because all that is convincing for someone scientifically educated was already said in my OP.

My method (it is actually not my method - it is well-known scientific method which does not need any "standardization") allows to get true info on camera sensor performance without any models.
 
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For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
 
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For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
Thanks :)
 
I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
You conclusion is wrong. See the original post and try to understand why...
At least 50% of my conclusion are very good, I think. About 80% of my conclusion should be safe and correct - feel free to proove me wrong.

Probably only my opinion about your methode is in question. "What does your methode bring to us? I do not see it yet." is true for me but surely not for you. You hope that I convince me later myself. That may or may not happen.
Ok! You are free to beleave that 50% of your conclusions "are very good". I am free to not convince you more, because all that is convincing for someone scientifically educated was already said in my OP.

My method (it is actually not my method - it is well-known scientific method which does not need any "standardization") allows to get true info on camera sensor performance without any models.
The scientific methode is established and good. Not clear from your description is, how precisely do you get the "highest value" in your image (with the scientific flaw that you call that a value). Since your way of processing is not transparent or at least not clear to me, I doubt that this it good. This is due to my scientific education. Since your example picture with the Canon is so clear wrong my doubts seems to be well on the safe side.

For the dark value it looks like your processing and Bills are similar - differences seem to be in the order of noise level, thus I might well ignore that.

How do you get the "heighest value" in detail?

Bill for the PDR uses the monitor to produce a RGB "object" of various brightness with less green to compensate for 2x the photosite - thus the test image looks so magenta. Also he decribes well how the images are to be made: https://www.photonstophotos.net/Collaborations/Dynamic_Range_Collaboration.htm

How do you do that? Where is your description in detail? In which point is it better than Bills? I want to see any scientfic benefit you may (or may not) bring to us. If your processing is not better than Bills nor gives any helpfull insight I do not know what to do with that. And the last thing I need is any comparison of cameras - I want to know my sensor (G9m2) in detail to know the conditions maximum image quality for me and the limitations. I think I will start re-evalaution once you compared your methode to an established one (PDR or CineD) instead of comparing different cameras with an unknown methode - this smells like it could result in some possible manipulations.
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
Thanks :)
Found this after google search…

The quote is "You can fool some of the people all of the time, and all of the people some of the time, but you can not fool all of the people all of the time."1 It is most often attributed to Abraham Lincoln, but this is disputed. There are no known contemporary records or accounts substantiating that he ever made the statement. The earliest known appearance is October 29, 1886 in the Milwaukee Daily Journal. It later appeared in the New York Times on August 26 and August 27, 1887. The saying was repeated several times in newspaper editorials later in 1887. In 1888 and, especially, 1889, the saying became commonplace, used in speeches, advertisements, and on portraits of Lincoln. In 1905 and later, there were attempts to find contemporaries of Lincoln who could recall Lincoln saying this. Historians have not generally found these accounts convincing.
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
Thanks :)
Found this after google search…

The quote is "You can fool some of the people all of the time, and all of the people some of the time, but you can not fool all of the people all of the time."1 It is most often attributed to Abraham Lincoln, but this is disputed. There are no known contemporary records or accounts substantiating that he ever made the statement. The earliest known appearance is October 29, 1886 in the Milwaukee Daily Journal. It later appeared in the New York Times on August 26 and August 27, 1887. The saying was repeated several times in newspaper editorials later in 1887. In 1888 and, especially, 1889, the saying became commonplace, used in speeches, advertisements, and on portraits of Lincoln. In 1905 and later, there were attempts to find contemporaries of Lincoln who could recall Lincoln saying this. Historians have not generally found these accounts convincing.
you may dispute. I heard Bob Marley singing these words :-)
 
Last edited:
Bill Claff (bclaff) posts regularly on dpreview. He can speak on his methods and measurements for himself, but I consider him unbiased, knowledgeable, and diligent.
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
Thanks :)
Found this after google search…

The quote is "You can fool some of the people all of the time, and all of the people some of the time, but you can not fool all of the people all of the time."1 It is most often attributed to Abraham Lincoln, but this is disputed. There are no known contemporary records or accounts substantiating that he ever made the statement. The earliest known appearance is October 29, 1886 in the Milwaukee Daily Journal. It later appeared in the New York Times on August 26 and August 27, 1887. The saying was repeated several times in newspaper editorials later in 1887. In 1888 and, especially, 1889, the saying became commonplace, used in speeches, advertisements, and on portraits of Lincoln. In 1905 and later, there were attempts to find contemporaries of Lincoln who could recall Lincoln saying this. Historians have not generally found these accounts convincing.
you may dispute. I heard Bob Marley singing these words :-)
Marley is quite a bit more current….usually when one asks, they want the originator or quote, not a repeater.
 
I have decided to make this post after recent results published at “Photons to Photos” (PTP) on measurements of Dynamic Range (DR) of the latest Lumix G9 Mark II camera, which are in strong disagreement not only with my measurements, but also with real life observations of many G9II users. Despite PTP has recognized some evident errors in their first-published data, the corrected data, to my mind, remain not valid. I have also found that the problem is related not only to G9II, but also to many other cameras presented at PTP. As an example, here I am discussing on DR of Lumix G9 in comparison with Canon EOS 6D Mark II.

I own both G9, which is my main working horse, and Canon EOS 6DMII, which I also like very much. Thus, it is, of course, interesting to know how these two cameras compare in the dynamic range. The simplest way, which many use, is to go to the “Photons to Photos” site and just check the plot as shown in #1.

#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site
#1. DR comparison for Lumix G9 and Canon 6D M II taken from PTP site

As we can see, according to the PTP-plot, G9 has about 1 stop DR-advantage at the base ISO 200, and more than 1 stop at the extended ISO 100. It is also interesting question why the G9-DR at ISO 100 is higher than at ISO200, while ISO100 is specified by Panasonic as the extended ISO?

But what is surprised, that above ISO 800 the G9 loses its advantage – the G9-DR drops significantly faster than 6DMII-DR, which is a real puzzle for those who familiar with radio-engineering and electronics. As a result, at ISO 6400 the G9-DR is about 0.5 stop less than 6DMII. And this is not the last surprise. At ISO 12600 the G9-DR suddenly jumps up and becomes even higher than 6DMII-DR.

Is that what tells PTP-plot TRUE?

During last few years I work on my hobby-project related to Raw-processing software called iWE (image waves editor), which also has tools for analyzing the statistics of the Raw-data and allow the Dynamic Range measurements. Namely iWE-tools were used to study the DR-performance of these two cameras.

Let us check this with iWE Raw-processing software.
Is PTP true? That is a wrong question, because truth is not a term in engineering nor in science but in religion or philosophy. PTP is an observation after someone did an experiment with a camera. Questions may be: Is it usefull? Is the set-up done correctly? The latter was the problem before correction: The plot G9m2 "ES" was made from data while not only electronic shutter but also some other still unknown property was changed in the camera - this did happen because PDR is a collaborative result with many people contributing data to Bill and sometimes an anonymous person makes an error or may even mislead by intention changing a set-up without telling Bill/us. Since this other change of setting was not specified people of course concluded, that the electronic shutter in G9ii had an effect on PDR - which is just not the case. Thus the conclusion was not true. The measurement and the later calculation was correct but the hidden manipulation made the conclusion untrue/ a lie.

Is PDR helpfull? Yes, because it is a standarized and well described methode used for a lot of sensors and thus you may compare it with a lot of cameras qualitatively. If you compare it quantitatively you do that outside the "field of use" specified on the website. Citation from the plot: "Note that the x-axis is ISO Setting and not a "measured" value. Keep this in mind particularly when comparing to the Ideal lines."
What is Dynamic Range?

Mathematically, it is the ratio of the highest value (V_max), which can be registered by a sensor photodiode (pixel), to the minimal value defined by noise level (V_noise) in electronic circuit with the pixel-photodiode connected to this circuit, when the light is blocked. With this definition (well-known in Physics) the DR tells us on ability of the photodiode to register minimal values of the light energy without the narrowing the spectral bandwidth of the registration. In terms of the sensor performance, it is the ability of the sensor to register the image details in deep shadows or in case of the image is strongly underexposed. The high DR also provides flexibility in saving the room for highlights by shifting the exposure to lower values. It is convenient to express the DR in Exposure Values (EV) as logarithm to base 2 (log (V_max/V_noise)).
speaking of discrete levels seems a stretch to me: "Noise floor" is a broad band just as clipping - it is not 1 value you can determine but does have a variation/variance/noise distribution, too. At least square root of photons / photo-electrons (Poisson statistics) is the physical limit to precision plus all noise from the electronics and error from digitalization.
How to measure DR?

The simplest way is to analyze the black-frame data taken at rather fast shutter speed with the cap on the lens to minimize the penetration of the light. These data, of course, should be properly preprocessed to be used just in the form of linear data registered by sensor photodiodes with the subtracted black level and well-defined maximum level for the light energy registration. The RAW-converter must be set to regime, when no white balance is applied; the demosaicing should be turned off, or simplest (bilinear) interpolation algorithm should be used. In other words, the data must be proportional to the registered light energy with zero value at zero light energy, so at zero light energy we just have fluctuating read noise data.

The effective noise level is defined as the “standard deviation” calculated by simple well-known math procedure. In case of the non-demosaicing data we deal with the half-size image with two physical green pixels forming single logical green pixel. For the last reason in this case we have enhanced DR (about +0.5 EV) for the green image channel compared for the virtual case when only one green physical pixel is used for the logical green pixel of the image. If one needs to have better correlation with real-life whole-size images, the DR measurements must be done for the demosaiced data. I do recommend using the simplest bilinear interpolation algorithm which introduces minimal amount of the noise into the green channel compared to the half-size image. The positive difference between the DR for the green channel of the non-demosaicing half-size image and bilinear-interpolated full-size image is only about +0.2 EV. Because the bilinear interpolation is based on the averaging of the neighboring pixels of the same color, the resulting DR for R and B channels is about 0.1 EV higher than that for half-size non-interpolated image. In this post I show the results for the bilinear interpolated full-size image. The DR results are also discussed in connection to real-life full-size images.

G9 vs 6DMII according to iWE

The picture #2 shows the dynamic range measured with help of iWE for both G9 and 6DMII. The data inaccuracy is about 0.02EV, which is defined by statistics over about 64000 pixels. At ISO 100 the G9-DR is about 0.1 EV higher than at ISO 200, which points out that ISO 100 is not purely extended one. Comparison of the linear image data from RAWs for similar images taken at ISO 100 and ISO200 at the same exposure (same shutter speed and lens F-number) shows that the analog gain at ISO 200 is higher than at ISO 100. Thus, it is a real question why in the G9 manual the ISO 100 is pointed as the extended?

As one can see the G9-DR is indeed significantly higher than the 6DMII-DR at the base ISO 200 (according to the manual), which is in relative agreement with the PTP measurements. The difference is slightly higher than 1 stop for all the RGB channels. For the green channel the G9-DR is approaching the value very close to 13 stops, which for 12-bit ADC means the perfect performance of the G9 electronics (instead of scientific metrics the PTP uses their own so-called “Photographic” DR, which is also not a good idea, because Photonic DR does not allow judging on how close is DR to the theoretical maximum which is even higher than the bit-depth of the Analog-to-Digital converter if the quantum fluctuations of the lowest bit are taken into account).

However, the most important fact is that G9-DR is higher than 6DMII-DR for all the ISO values, which is in strong disagreement with PTP results shown in #1.

Moreover, at ISO 25600 the G9-DR is the same as at ISO 12800. What it means? It means that ISO 25600 is the extended ISO – no additional analog amplification is applied at ISO 25600 compared to ISO12800. The data in #3 and #4 taken at ISO 12800 and 25600 at the same exposure (same shutter speed and same F-number) illustrate this very well. At the same shutter speed and lens F-number the linear data registered by the sensor are the same for both ISO12800 and ISO25600 (for example, at bottom right side in iWE “Statistics panel” one can read the mean value for the green channel to be equal 2348 and 2353 for ISO12800 and ISO25600, respectively). Thus, the ISO25600 is indeed the extended ISO (actually, it is the same ISO12800, which is reflected by same DR-value on the plot #2), and there is no DR-jump (increase) above ISO 12800 as reported in #1 by “Photons to Photos” data. The second real question to Panasonic - why in the G9 manual the ISO 25600 is not pointed as the extended?

#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels
#2. The scientific Dynamic range data for Lumix G9 and Canon 6D M II measured with help of iWE software. Top plot is for Green (G) channel; the bottom plot is for Red(R) and Blue (B) channels

#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800
#3. ISO 12800, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the Mean value 2348). To discussion on the extended G9 ISO above the ISO12800

#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)
#4. ISO 25600, SS 1/100, F6.3. The statistics data along the yellow-line marker are shown at the bottom right-side panel (Green channel: the mean value 2353 – with accounting for noise the same as at ISO 12800; there is no additional analog amplification compared to ISO 12800)

Can we visualize the better DR performance of the G9 compared to the 6DMII?

Yes, but we must provide the conditions for the same exposure of pixels and, as a result, the same photon noise in the both cases (individual pixels of the 6DMII and G9 must receive the same number of photons). To do this, we have to take into account that the physical area of the 6DMII-photodiode (pixel) is 3 times larger than the area of the G9-pixel (not 4 times, because of aspect ratio and pixels count difference; FF 6DMII sensor has 26 Mpx, while m43 G9 has 20 Mpx). The same pixel exposure is achieved at the same shutter speed, but the lens F-number in case of G9 must be about 1.73 times lower than for 6DMII (for example, if the 6DMII-lens has F-number 8 then G9-lens should be set to F-number 4.5).

The photo #5 is taken with Canon 6DMII at ISO 1600, and it is 5 stops underexposed (shutter speed 1/500 s; F-number 8), so the 5 stops were compensated in the post-processing.
This procedure is so strange to me. If you want to measure DR you must saturate the sensor to see when clipping of highlights occures. The bigger sensor can hold more electrons thus can accept more photons but you give it much less instead? That is plain wrong in my opinion. Your procedure is unfair against big sensors and this renders your methode at least useless or even misleading for any comparison. You generate false misleading results by intentionally operate the bigger sensor underexposed by a huge amount.
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE
#5. Canon 6D M II at ISO 1600; the photo is underexposed -5 stops. +5 stops compensated in iWE

#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5
#6. G9 photo taken at ISO 1600 and the same shutter speed as photo #5. The lens F-number is 4.5 instead of 8 at photo #5 to provide the same number of photons per pixel as in case of photo #5

1fb9ce79d320463caa77d64f0b329b78.jpg

#7. 5DMII (crop from #5)

#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7
#8. G9 (crop from #6). The in-shadows wall-paper ornament is significantly better pronounced than in #7

The photo #6 is taken with G9 at the same pixel exposure at ISO 1600 (the same shutter speed 1/500 s, but at F-number 4.5 to get the same quantity of photons per pixel as in case of the Canon’s pixel). In the post processing the same 5 stops were compensated.

If we compare the shadows in photo #6 and photo #5 (see also crops #7 and #8) then it is evident that G9 recovers the information in shadows much better than 6DMII, which is in agreement with the Dynamic Range iWE-measurements (about 0.5 stops advantage of the G9). It is also in strong disagreement with PTP-data pointing the DR-advantage of the 6DMII at ISO above 800. Similar analysis shows that the G9 DR-advantage remains at all ISO values in accordance with the data shown in #2.

Conclusion

According to iWE the G9 has demonstrated excellent DR performance, which at base ISO is more than one stop higher than DR of Canon 6D Mark II. G9-DR for the green channel approaching the value 13 EV, which on account of 12-bit depth of the ADC is already limited by quantum fluctuation of lowest ADC-bit. It is interesting that 25600 ISO of the G9 is found to be extended, while ISO 100 is characterized by lower analog gain than ISO 200 which explains the growth of the G9 DR below ISO 200.

The G9-DR is higher than the DR of the Canon 6DMII for all the ISO values, which was also confirmed by real-life photos. The last fact does not agree with PTP DR measurements. iWE-measurements show no specific jumps in DR at ISO above 12800 as it was reported by PTP.

The PTP data can not be considered as reliable. The authors of “Photon to Photos” site must seriously revise their methodology, because such errors influence not only choice of camera consumers but also result in underestimation the work of highly qualified specialists which make all the best to produce high-performance camera for us.
My conclusion:

PTP with the PDR is way more reliably than your methode (underexposing bigger sensors).

PDR gives some information about how much less highlights the sensor can accept once one increases ISO - that is helpful for users.

PDR is not so usefull for comparing cameras (due to ISO given in camera not calibrated by manufacturers - as declared by Bill in the PTP website under every graph). Problem is, people compare PDR nevertheless again and again...

What does your methode bring to us? I do not see it yet.

What do I think about dynamic range measurement? I like the way CineD does the dynamic range analyses with the combination of 3 methodes in their lab test (only first 2 of them in their camera data base) example: https://www.cined.com/sony-alpha-9-iii-lab-test-dynamic-range-and-latitude/ :

1) Tests with Xyla21with with clear saturation (clipping visible) - you can see in the waveform plot of 1 taken image the DR with your own eyes qualitatively and you can guess the noise level and count the stops. Plain simple "true" observation.

2) Tests with Xyla21 with IMATEST statistics: You get all the math, the values for SNR 1-10 and curves from a standard analysis. What more could be needed for the number crunchers here?

3) latidude test. A real application test set-up with human (skin tone), white paper, black shirt, homogeneous background for noise characterization, test card with exposure calibrated to 60% of the skin - the perfect set-up for real life comparison. They drive exposure up until it clips. Then they drive it down an recover it and also apply standard noise reduction until the image is not usuable anymore - this gives the real "photographic dynamic range"! This should be used also for still images, too, I think. However it is clear that this methode comes from video, since DR is much more critical in video. Photo-people here should learn from that.

Best regards,

Jens
You conclusion is wrong. See the original post and try to understand why...
At least 50% of my conclusion are very good, I think. About 80% of my conclusion should be safe and correct - feel free to proove me wrong.

Probably only my opinion about your methode is in question. "What does your methode bring to us? I do not see it yet." is true for me but surely not for you. You hope that I convince me later myself. That may or may not happen.
Ok! You are free to beleave that 50% of your conclusions "are very good". I am free to not convince you more, because all that is convincing for someone scientifically educated was already said in my OP.

My method (it is actually not my method - it is well-known scientific method which does not need any "standardization") allows to get true info on camera sensor performance without any models.
The scientific methode is established and good. Not clear from your description is, how precisely do you get the "highest value" in your image (with the scientific flaw that you call that a value). Since your way of processing is not transparent or at least not clear to me, I doubt that this it good.
Not clear for you is not equal to not clear for everybody...

There is nothing complicate with the highest registered value - it is the ADC maximum minus black level offset: V_ADC_max - V_black

The DR in iWE is defined according to known simple expression:

DR=log2(V_norm_max/StDev)

V_norm_max =8192 - normalized maximum for normalized data; 8192=(V_ADC_max - V_black)*NF, where V_ADC_max is maximum value of the ADC defined by it's bit depth;

The maximum normalized value 8192 is chosen because of properties of the Windows GDI+.

V_black is the black level offset (these data are in RAW-file); NF - normalizing factor;

StDev - standard deviation for the normalized black-frame data (hope you know how the standard deviation is calculated)

NomalizedData=(ADC_data-V_black)*NF;

Hope, I do not need to explain why NF is not influencing the DR-value.

The use of the normalization also allows to forget on an ADC- bit-depth of a particular camera.
This is due to my scientific education. Since your example picture with the Canon is so clear wrong my doubts seems to be well on the safe side.
My examples are perfectly clear and correct. The pixels of both images received the same amount of the light energy:

Energy_per_pixel [Joules]=Intensity (Watt/(m*m)]*PixelArea [m*m] *ExposureTime [sec].

Please point, where this expression is wrong, as soon as my example is "clear wrong".
For the dark value it looks like your processing and Bills are similar - differences seem to be in the order of noise level, thus I might well ignore that.

How do you get the "heighest value" in detail?

Bill for the PDR uses the monitor to produce a RGB "object" of various brightness with less green to compensate for 2x the photosite - thus the test image looks so magenta. Also he decribes well how the images are to be made:
The use of the monitor is enough to not consider PDR seriously, because RGB space is nonlinear (it is gamma-space), while DR assumes the work with the linear data.

So many useless steps which are sources for serious errors....:)
https://www.photonstophotos.net/Collaborations/Dynamic_Range_Collaboration.htm

How do you do that? Where is your description in detail? In which point is it better than Bills?
The discription can be found in iWE manual.

My approach is better because it is scientific and free of assumptions and Models (you even do not need to know that the light consists of photons (because it is also the Model)). And, of course, it does not need RGB monitor, callibration curves and so on :)

The only need - linear data. We must work with the data values proportional to the light energy.
I want to see any scientfic benefit you may (or may not) bring to us. If your processing is not better than Bills nor gives any helpfull insight I do not know what to do with that. And the last thing I need is any comparison of cameras - I want to know my sensor (G9m2) in detail to know the conditions maximum image quality for me and the limitations. I think I will start re-evalaution once you compared your methode to an established one (PDR or CineD) instead of comparing different cameras with an unknown methode - this smells like it could result in some possible manipulations.
 
For arguing on forums about which cameras is better, PtP and DxO for that matter are very reliable... It gives you a simple to understand number that it definitely proves your camera is better... after all, 8.14 is bigger than 7.92 ...

For people who, you know, actually go out and shoot, PtP and DxO are wastes of time these days. They might have been useful back in the day when sensors were evolving and had all sort of teething problems but these days, it matters much more the lens you are using or the actual quality of light you are shooting under...
To my mind PtP and DxO are like the brothers. Both create their own methodology, metrics and so on despite of existing well established scientific approaches.
Don't remember who said, that it is possible to foollish people for a long time, but it is impossible to do this forever.
Bob Marley. "Get up stand up". You can fool some people some time. But you can't fool all the people all the time.
Thanks :)
Found this after google search…

The quote is "You can fool some of the people all of the time, and all of the people some of the time, but you can not fool all of the people all of the time."1 It is most often attributed to Abraham Lincoln, but this is disputed. There are no known contemporary records or accounts substantiating that he ever made the statement. The earliest known appearance is October 29, 1886 in the Milwaukee Daily Journal. It later appeared in the New York Times on August 26 and August 27, 1887. The saying was repeated several times in newspaper editorials later in 1887. In 1888 and, especially, 1889, the saying became commonplace, used in speeches, advertisements, and on portraits of Lincoln. In 1905 and later, there were attempts to find contemporaries of Lincoln who could recall Lincoln saying this. Historians have not generally found these accounts convincing.
you may dispute. I heard Bob Marley singing these words :-)
Marley is quite a bit more current….usually when one asks, they want the originator or quote, not a repeater.
Sure, you are right. But in the "history of e-shutter-g9m2-PDR-gate in dpreview-forum" I wrote those words a few weeks ago and I cited Bob Marley then (the shorter version). He used it in the Haiti-context and I did not ask him, from whom he got the words. But I agree that Lincoln could be the right source, without proove.
 

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