PaulRivers
Veteran Member
Joe0Bloggs thanks for posting those shots - it's interesting.
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I'm not 'ignoring' anything as such - it is not my intention to make full and complete analysis of every aspect.You ignore the fact that by the time you hit the top 'real' ISO, the lower several bits of the ADC are already swamped in noise under the sensor's noise floor.Once the maximum amplifier gain ISO setting is reached, some cameras extend the effective ISO settings available by simply 'numericaly multiplying' the lower RAW A/D values upward by a 'numeric factor' before further processing to JPEG, or outputing as RAW.
Operationaly, this 'extended ISO' allows the photographer to easily meter and capture at higher ISO exposure settings - but it has the disadvantage that only a decreasing range, and therefore decreasing resolution, of the A/D is used.
That is quite wrong - if you add noise to the data (by randomly filling LSB zeroes) - you simply add noise - nothing is improved by adding random noise to the data post capture.....Bit-shifting after the fact does not incur any real quantization loss--you can duplicate the effects of a higher physical gain by filling the zeroes under the upshifted LSB of each pixel with randon noise.
Signal means nothing without noise. If you double the signal but also double the noise, you have done nothing for the signal to noise ratio.I'm not 'ignoring' anything as such - it is not my intention to make full and complete analysis of every aspect.You ignore the fact that by the time you hit the top 'real' ISO, the lower several bits of the ADC are already swamped in noise under the sensor's noise floor.Once the maximum amplifier gain ISO setting is reached, some cameras extend the effective ISO settings available by simply 'numericaly multiplying' the lower RAW A/D values upward by a 'numeric factor' before further processing to JPEG, or outputing as RAW.
Operationaly, this 'extended ISO' allows the photographer to easily meter and capture at higher ISO exposure settings - but it has the disadvantage that only a decreasing range, and therefore decreasing resolution, of the A/D is used.
This is primarily a discussion regarding 'ISO' with respect to 'signal levels / sensitivity' - noise is a 'secondary distraction', a side issue, to the main point of my discussion/contention.
ISO is not defined by 'signal level', but by the light level that corresponds to middle grey in the output image. The ISO standard does not say anything about what is done to achieve this end result. Thus software ISO boost and binning are equally valid approaches to 'high ISO' and the ONLY question is whether one has better signal-to-noise ratio than the other.I don't really care about the noise level (for this discussion) - I'm talking about 'signal level' with respect to 'ISO'.
As I pointed out, the least significant bit in the highest 'physical' ISO setting is already way below the noise floor--if the amplifier had extra higher settings, it would simply lift the noise floor higher up the ADC bits and the extra bits showing up under the LSB of the original highest 'physical' ISO setting would be pure noise.That is quite wrong - if you add noise to the data (by randomly filling LSB zeroes) - you simply add noise - nothing is improved by adding random noise to the data post capture.....Bit-shifting after the fact does not incur any real quantization loss--you can duplicate the effects of a higher physical gain by filling the zeroes under the upshifted LSB of each pixel with randon noise.
I know that full well - there is really no need for you and Ron Parr to keep endlessly repeating it.Signal means nothing without noise. If you double the signal but also double the noise, you have done nothing for the signal to noise ratio.I'm not 'ignoring' anything as such - it is not my intention to make full and complete analysis of every aspect.You ignore the fact that by the time you hit the top 'real' ISO, the lower several bits of the ADC are already swamped in noise under the sensor's noise floor.Once the maximum amplifier gain ISO setting is reached, some cameras extend the effective ISO settings available by simply 'numericaly multiplying' the lower RAW A/D values upward by a 'numeric factor' before further processing to JPEG, or outputing as RAW.
Operationaly, this 'extended ISO' allows the photographer to easily meter and capture at higher ISO exposure settings - but it has the disadvantage that only a decreasing range, and therefore decreasing resolution, of the A/D is used.
This is primarily a discussion regarding 'ISO' with respect to 'signal levels / sensitivity' - noise is a 'secondary distraction', a side issue, to the main point of my discussion/contention.
Thankyou - that pretty much validates my original point.ISO is not defined by 'signal level', but by the light level that corresponds to middle grey in the output image. The ISO standard does not say anything about what is done to achieve this end result. Thus software ISO boost and binning are equally valid approaches to 'high ISO'...I don't really care about the noise level (for this discussion) - I'm talking about 'signal level' with respect to 'ISO'.
No - had the original point of the discussion been SNR then I would agree - but SNR WAS NOT the original point....and the ONLY question is whether one has better signal-to-noise ratio than the other.
Again - my original point WAS NOT 'SNR'.The binning approach has better signal to noise ratio not because it 'uses more bits of the ADC' but because you pay the noise penalty from the amplifier, A/D converter, etc. just once for four pixels combined rather than once for each pixel.
It looks like I initialy misunderstood the intent of your illustration.As I pointed out, the least significant bit in the highest 'physical' ISO setting is already way below the noise floor--if the amplifier had extra higher settings, it would simply lift the noise floor higher up the ADC bits and the extra bits showing up under the LSB of the original highest 'physical' ISO setting would be pure noise.That is quite wrong - if you add noise to the data (by randomly filling LSB zeroes) - you simply add noise - nothing is improved by adding random noise to the data post capture.....Bit-shifting after the fact does not incur any real quantization loss--you can duplicate the effects of a higher physical gain by filling the zeroes under the upshifted LSB of each pixel with randon noise.
I didn't say that filling in the zeroes with noise would 'improve' anything, I just said it would exactly replicate the effects of a higher physical gain.
It is not likely to be true that they would always look the same at all.The image with zeroes loaded in Photoshop would have gaps in its histogram (not accounting for the effects of colour mapping) while the image would noise filled in wouldn't--but neither image would look better than the other because they both have the same signal to noise ratio and the posterization occuring with the first image occurs under the noise floor.