DxO Mark and MF x Nikons

Renato, a major point that MR makes is in regard to the MFDB image
chain. The designers of these systems have decided to go with
software solutions, which aren't indicated in dxo mark, because it
apparently tests right off of the sensor. That really leads to a
larger question. What is more important? The numerical IQ of an
image at some point in the image chain, or the overall results at the
end?
Which is why Nikon guys were so mad at Canon guys (for a long time, actually) who insisted on using their standard raw converter (quite often ACR) when comparing to Nikon, then concluding things based on that.
 
I think the tonal range number just means how many bits would be
needed in a converted image after applying the gamma compensation to
store the result without losing DR. So an 8 bit per channel image
cannot store the full DR of a D3X image. Also since it is generally
not possible to display more than 8 bits of tonal range, to make use
of the D3X DR you either use it to fix exposure errors or use high DR
techniques to compress the DR for the final image.
Roughly correct. The tonal range number is the number of distinguishable gray levels in the range of recorded RAW levels, where the criterion for distinguishability is the std dev of the noise. Mathematically, the integral over raw levels S from zero to Smax (=2^bitdepth-1) of dS/N(S) where N(S) is the noise at a particular signal level S. Now, over the part of the range where the dominant noise is photon shot noise, a gamma transformation of 2 linearizes N(S) and so the post-gamma bit depth needed is close to DxO's tonal range (though it will differ in shadows where N(S) is read-noise dominated).
The dynamic range of 12.84 EV represents the highlight to zero SNR
dynamic range. This is useful for comparing cameras but most
photographers would use a higher than zero SNR for the minimum
acceptable shadow level. I just subtract a couple stops from the
given DR andfigure that gives an idea of the EV range the camera can
capture.
Here it's better to look at the SNR curves and see the range that exceeds one's minimum acceptable SNR. Universally subtracting off a couple of EV shortchanges cameras like the D3x which has a shot-noise dominated SNR graph over a much wider range than its competitors (including the D3/D700).
I don't have any experience to have a baseline for judging the color
sensitivity number so for that I just use the image example to see
how lower scores equate to poorer color rendering especially in
shadows.
Color sensitivity is essentially a 3d version of the tonal range, the number of 3d "cells" of distinguishable RGB tonalities that the camera can record, where the size of the cell is governed by the noise std devs in R,G,B at a given RGB value.

--
emil
--



http://theory.uchicago.edu/~ejm/pix/20d/
 
At the print size you mention, do you need more than say 12mp?? And if the scene is one without a lot of contrast and shadow area in good light, then the compact is good enough.

Its like how many of us actually need more than 12mp? How many print bigger than say 12"x18". I know I do not.
 
Emil,

Thanks for taking the time to write up a much better description of these benchmark values. My reply was just a quick and sloppy approximation of their meaning.
 
The biggest issue with the DXOmark numbers is with misinterpreting
them.
According to DxO Labs, D3X tonal range at ISO 100 (actual ISO
measured 78) is stated to be 8.67 bits, colour sensitivity 22.2 bits,
dynamic range 12.84 eV. Please interpret this data.
OK I'll give it a shot. First of all what is needed is the relative
rank between cameras and where in the absolute number the data
becomes good enough that further improvement is unnecessary. For a
start to gauge the scale you can move your cursor over the bar to the
right of the graph to get an idea of the effect of different
measurement levels.
I think the tonal range number just means how many bits would be
needed in a converted image after applying the gamma compensation to
store the result without losing DR. So an 8 bit per channel image
cannot store the full DR of a D3X image. Also since it is generally
not possible to display more than 8 bits of tonal range, to make use
of the D3X DR you either use it to fix exposure errors or use high DR
techniques to compress the DR for the final image.
The dynamic range of 12.84 EV represents the highlight to zero SNR
dynamic range. This is useful for comparing cameras but most
photographers would use a higher than zero SNR for the minimum
acceptable shadow level. I just subtract a couple stops from the
given DR andfigure that gives an idea of the EV range the camera can
capture.
I don't have any experience to have a baseline for judging the color
sensitivity number so for that I just use the image example to see
how lower scores equate to poorer color rendering especially in
shadows.
Apart from "The dynamic range of 12.84 EV represents the highlight to zero SNR dynamic range. This is useful for comparing cameras but most photographers would use a higher than zero SNR for the minimum acceptable shadow level. I just subtract a couple stops from the given DR andfigure that gives an idea of the EV range the camera can capture" I was not able to find interpretation. Explanation is not the same as interpretation, right?

Now, here is something that puzzles me. On http://www.dxomark.com/index.php/eng/Image-Quality-Database/Nikon/D3X , "Overview", dynamic range is stated as 13.7. On the same page, "Dynamic range" tab, the number for the highest dynamic range is 12.84.

--
http://www.libraw.org/
 
Now, here is something that puzzles me. On
http://www.dxomark.com/index.php/eng/Image-Quality-Database/Nikon/D3X
, "Overview", dynamic range is stated as 13.7. On the same page,
"Dynamic range" tab, the number for the highest dynamic range is
12.84.
You need to click on "print" instead of the default "screen" display on the DR tab to get the value 13.7. "Print" display values are mathematically derived scalings to fixed output dimensions; "Screen" values depend on pixel pitch and represent what is seen in measurements of pixel properties.

The "Print" version is normalized to account for the number of pixels/image height, and therefore gives a guide to SNR, DR, etc at a fixed scale in the image rather than the unnormalized scale of the pixel. The difference is quite apparent if one compares the D3 and the D3x -- "Print" values are quite close whereas "Screen" values are rather different due to the factor of sqrt[2] in pixel dimensions.

--
emil
--



http://theory.uchicago.edu/~ejm/pix/20d/
 
Now, here is something that puzzles me. On
http://www.dxomark.com/index.php/eng/Image-Quality-Database/Nikon/D3X
, "Overview", dynamic range is stated as 13.7. On the same page,
"Dynamic range" tab, the number for the highest dynamic range is
12.84.
You need to click on "print" instead of the default "screen" display
on the DR tab to get the value 13.7. "Print" display values are
mathematically derived scalings to fixed output dimensions; "Screen"
values depend on pixel pitch and represent what is seen in
measurements of pixel properties.

The "Print" version is normalized to account for the number of
pixels/image height, and therefore gives a guide to SNR, DR, etc at a
fixed scale in the image rather than the unnormalized scale of the
pixel. The difference is quite apparent if one compares the D3 and
the D3x -- "Print" values are quite close whereas "Screen" values are
rather different due to the factor of sqrt[2] in pixel dimensions.

--
emil
--



http://theory.uchicago.edu/~ejm/pix/20d/
--
Renato.
http://www.flickr.com/photos/rhlpedrosa/
OnExposure member
http://www.onexposure.net/

Good shooting and good luck
(after Ed Murrow)
 
... ignoring the pattern noise. And that is the solution to the puzzle.

--
http://www.libraw.org/
But can you actually compute pattern noise as a separated entity? Doesn't seem so easy.

And I may be missing something here, but the PRINT option just recomputes mathematically the graphs, no extra measure is done, using the downres'ing factor from actual res to 8MP.

Exactly how pattern noise would become relevant for that option only?

--
Renato.
http://www.flickr.com/photos/rhlpedrosa/
OnExposure member
http://www.onexposure.net/

Good shooting and good luck
(after Ed Murrow)
 
... ignoring the pattern noise. And that is the solution to the puzzle.
But can you actually compute pattern noise as a separated entity?
Doesn't seem so easy.
There are several ways one can use, to get an idea you can push D3X file shot at ISO 100 10eV in a converter.
And I may be missing something here, but the PRINT option just
recomputes mathematically the graphs, no extra measure is done, using
the downres'ing factor from actual res to 8MP.
And that is pretty meaningless for the resulting actual print.

--
http://www.libraw.org/
 
Also, why should the DxO mark scores represent THE truth?

The fact that they're the only ones to have come up w sensor scoring, does not mean that their criteria are good, that their methodology is good - no one knows!

And clearly, the fact that their "scoring" does not factor anything for resolution, is clearly a big hole in the methodology.
 
... ignoring the pattern noise. And that is the solution to the puzzle.
But can you actually compute pattern noise as a separated entity?
Doesn't seem so easy.
There are several ways one can use, to get an idea you can push D3X
file shot at ISO 100 10eV in a converter.
To return to the discussion, the key think about quantitative measurements is to measure things that are subjectively important. If pattern noise is subjectively important, ways can be found to measure it. Returning to the MR's audio analogy, the problem with audio testing wasn't that it was quatitative, but that it was testing things that weren't subjectively important. It turned out that TID was much more subjectively important that THD, and that it also helped to know the distribution of harmonics in the distortion.

The key to measuring 'pattern noise' is in the word 'pattern'. Random noise has a known (spatial) frequency distribution. Noise that has other distributions is pattern noise, so a noise spectrum would give a fair indication of the relative strength of random and pattern noise, and some clues about the nature of the pattern noise. With some research, it might also be possible to quantify the objectionableness of different frequency distributions.
And I may be missing something here, but the PRINT option just
recomputes mathematically the graphs, no extra measure is done, using
the downres'ing factor from actual res to 8MP.
And that is pretty meaningless for the resulting actual print.
May or may not be the case. A problem with all these tests is that no attempt is made to justify the effects of what's tested subjectively. This isn't too hard to do. With a sufficiently large panel of observers in a blind test, one can rank the subjective effects of various phenomena. If a quantitative physical test correlates well with that ranking, it's probably a useful test.

--
Bob

 
Also, why should the DxO mark scores represent THE truth?

The fact that they're the only ones to have come up w sensor scoring,
does not mean that their criteria are good, that their methodology is
good - no one knows!

And clearly, the fact that their "scoring" does not factor anything
for resolution, is clearly a big hole in the methodology.
1) DxO Mark, properly understood, is a measure of Sensor+ADC specifications. If you think it's flawed in any sense, please call our attention to that. It's not a measure of final IQ, since that involves, demosaic'ing, lenses, AA filter system, etc.

2) The final score actually takes into account resolution, since it's computed from the full resolution data to simulate a common resolution for all sensors (8MP, actually). That's what the "PRINT" option does, for the graphs. For example, at full resolution, DR for D3x is 12.8, 13.7 comes from reducing resolution to 8MP.

3) DxO Mark is a decent digital imaging company, they have worked hard on this methodology, I think you would enjoy reading the various technical explanations they have posted about their methodology.

4) They warn against concluding that MF are worse than dslrs because of final scores, since that takes into account low-light ability of sensor, which is not a concern with MF, actually some of them (the Hassy, for example, ISO50) only have one ISO setting, other values are obtained by digital amplification. That distorts the final scoring, and they say that explicitly.
--
Renato.
http://www.flickr.com/photos/rhlpedrosa/
OnExposure member
http://www.onexposure.net/

Good shooting and good luck
(after Ed Murrow)
 
But can you actually compute pattern noise as a separated entity?
Doesn't seem so easy.
Pattern noise is due to the camera electronics, in particular the ISO amplification and ADC. It can be measured from black frames in Canons, which don't clip blacks, and from suitable near-black exposures on cameras such as Nikons that do clip blacks. Take the black frame and do a Fourier transform of the image. Here is the result for a Canon 1D3:



and here is the Canon 40D:



The lines are the banding component of the pattern noise -- vertical lines represent horizontal banding, horizontal lines represent vertical banding. There are four vertical lines on the 40D I suspect due to its four-channel readout, and eight for the 1D3 due to its 8-channel readout (so the D3 should have 12 vertical lines). The 40D also has some isolated off-axis bright spots, which represent noise that is periodic in both horizontal and vertical directions. Though I haven't done the analysis, one could make a quantitative measure of banding noise by subtracting off the diffuse background (which is the spatially random component of read noise) and/or averaging along the bright lines to get a quantitative measure of the amplitude of the pattern.
And I may be missing something here, but the PRINT option just
recomputes mathematically the graphs, no extra measure is done, using
the downres'ing factor from actual res to 8MP.
I believe Iliah's point is that pattern noise doesn't scale the same way that random noise does; in fact it reduces very little under moderate amounts of downsampling. Pattern noise is coherent across spatial scales.
Exactly how pattern noise would become relevant for that option only?
Because it doesn't reduce as much as random noise under downsampling.

However, just because DxO have not included it in their analysis does not invalidate their graphs for "Print" resolution. One just has to remember that what is being displayed for SNR etc relates to the random component of noise relative to signal.

--
emil
--



http://theory.uchicago.edu/~ejm/pix/20d/
 
... ignoring the pattern noise. And that is the solution to the puzzle.
But can you actually compute pattern noise as a separated entity?
Doesn't seem so easy.
There are several ways one can use, to get an idea you can push D3X
file shot at ISO 100 10eV in a converter.
To return to the discussion, the key think about quantitative
measurements is to measure things that are subjectively important.
If pattern noise is subjectively important, ways can be found to
measure it. Returning to the MR's audio analogy, the problem with
audio testing wasn't that it was quatitative, but that it was testing
things that weren't subjectively important. It turned out that TID
was much more subjectively important that THD, and that it also
helped to know the distribution of harmonics in the distortion.
The key to measuring 'pattern noise' is in the word 'pattern'. Random
noise has a known (spatial) frequency distribution. Noise that has
other distributions is pattern noise, so a noise spectrum would give
a fair indication of the relative strength of random and pattern
noise, and some clues about the nature of the pattern noise. With
some research, it might also be possible to quantify the
objectionableness of different frequency distributions.
Thanks, makes sense.
And I may be missing something here, but the PRINT option just
recomputes mathematically the graphs, no extra measure is done, using
the downres'ing factor from actual res to 8MP.
And that is pretty meaningless for the resulting actual print.
May or may not be the case. A problem with all these tests is that no
attempt is made to justify the effects of what's tested subjectively.
This isn't too hard to do. With a sufficiently large panel of
observers in a blind test, one can rank the subjective effects of
various phenomena. If a quantitative physical test correlates well
with that ranking, it's probably a useful test.
They try to show with images the effect of measurement scale (click on right bar of graphs). Not that useful, except in extreme situations.

Re a panel of expert: I still think these measurements are what they are, sensor specs, essentially, with some bearing on final IQ, more or less relevant in each case. For example, detail outweighs noise, for subjective appraisal, of final images, but it's not something that can actually be measured, beyond the traditional resolution chart shots. DR is actually much hard to evaluate subjectively, since some take contrast for detail, etc.

One point: I think that the way to actually evaluate IQ would be as follow: print both files at full resolution. View them at different distances, compensating so that angle of view is same, thus resolution difference is cancelled.

Why that: because any type of up or down res'ing has IQ effects. I realized that when I saw one of images printed at full resolution with a good lightjet printer. It's much better than anything I can get from my monitor, either at 100%, downres'ed, sharpened, etc. In fact, it's much better than anything I've done in film, I'm still amazed, regarding detail, tonal range, noise (grain), etc.
--
Renato.
http://www.flickr.com/photos/rhlpedrosa/
OnExposure member
http://www.onexposure.net/

Good shooting and good luck
(after Ed Murrow)
 
... ignoring the pattern noise. And that is the solution to the puzzle.

--
http://www.libraw.org/
I've also read the replies to Iliah's post on the pattern noise topic (Edit: just now saw Emil's). I think this is something that is important to IQ and it can be measured as shown in the Imatest (Norman Koren's program) plots generated by Imaging Resource. Perhaps you have seen these. They emphasize looking at the Noise Frequency plots (lower right in the grouped area) as being most diagnostic. In these, they plot Noise Power vs Frequency and you can easily see the distribution for the color channels and luminance. Also, the area under the curve (AUC) gives some idea of the magnitude of the noise over the frequency range. They show plots at different ISOs.

I've provided links below for the D3 and D90 as clean cameras (but look at the differences) and for my D200, which is acknowledged as a noisier camera. It would be easier to compare if these plots were all side by side but I didn't see how to do this. Still, I think the plots show differences and these get to Iliah and Bob's points as at least one way to correlate measured values with subjective perceived IQ.

http://www.imaging-resource.com/PRODS/D3/D3IMATEST.HTM
http://www.imaging-resource.com/PRODS/D200/D200IMATEST.HTM
http://www.imaging-resource.com/PRODS/D90/D90IMATEST.HTM

--
David
 
Aside from repeating pattern noise, there is also sensor pattern noise (for the lack of a better short term). You can easily see that sensor pattern pushing a shot with a body cap on and viewfinder closed, base ISO, short exposure, camera covered from light, if you push the resulting raw about 10 stops. Worse, when the camera gets heated from a battery or from sun/ambient the patterns develop further.

Statistical analysis done over relatively large portions of a sensor can show separation where it does not exist for an eye.

--
http://www.libraw.org/
 
Aside from repeating pattern noise, there is also sensor pattern
noise (for the lack of a better short term).
By "sensor pattern noise" do you mean banding noise, or something else? Banding shows up in the noise power spectrum (the Fourier transform of the black frame) as in the examples I posted -- it's the bright lines. The repetition of the bright lines is an artifact of the multichannel readout; that produces a rather less apparent regular oscillation of the brightness of the line in the line noise.

--
emil
--



http://theory.uchicago.edu/~ejm/pix/20d/
 

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