That's not factoring in read noise, processing and quite a few other
variables. My take is that the K-5 series produces cleaner files out
of the box at any ISO. How much I can push shadows without seeing
noise is of great interest to me. I feel that you can likely get files
from the K-3 with equal noise characteristics with post processing,
but honestly, side by side jpegs out of the camera reduced to web
resolution show more noise from the k-3. Also you have to factor in
the resolution loss when the k-5 hits over 1600. Its clearly doing
some NR wizardry in its pipeline and reducing the resolution somewhat.
How much the K-3 does that I do not know, but have read that it does
something similar.

On Wed, Aug 6, 2014 at 10:07 AM, Bryan Jacoby <[email protected]> wrote:
> It's all about photon counting statistics a.k.a. Poisson statistics
> a.k.a. shot noise: http://en.wikipedia.org/wiki/Shot_noise
>
> If we ignore the mysteriuos details of de-Bayering (let's pretend all
> cameras are like the Leica M Monochrom), and that we are in a
> situation where photon counting statistics are the dominant source of
> noise (which is what we should be talking about, since we are
> concerned with the fundamental question of noise in more vs. fewer
> pixels, not other noise sources that will vary from one sensor design
> to another), then all that matters is how many photons end up each
> pixel of the final output image.
>
> Consider this simple case: you want to order an 8 x 12 print from
> Mpix, which they will print at 250 dpi, for a final output image with
> 6 MP, and we don't do any noise reduction.
>
> If you take the image with a 6 MP sensor (kind of like a K100D
> Monochrom, but with a modern sensor), each sensor pixel/photosite will
> translate directly to an output pixel, so input or sensor image noise
> = final image noise.
>
> If you take it with a 24 MP sensor (K-3 Monochrom), each photosite
> will on average get 1/4 as many photons as the K100D's photosites.
> Poisson statistics tell us that the noise goes as the square root of
> the number of photons, so each of these pixels will have a
> signal-to-noise ratio (SNR) that's only half of the SNR of the K-3
> pixels.  But when you average together groups of 4 pixels from the
> K-3, the SNR of the aggregated pixels will increase by the square root
> of 4, which is 2.  1/2 * 2 = 1; like I said it all comes out in the
> wash.
>
> On Tue, Aug 5, 2014 at 5:38 PM, steve harley <[email protected]> wrote:
>> on 2014-08-05 13:50 Bryan Jacoby wrote
>>>
>>> I think this idea of bigger/fewer pixels leading directly, as in
>>> through the very basic physics of photon noise, to lower noise is
>>> wrong-headed.I couldn't care less what the signal-to-noise ratio of
>>
>>> _pixels in my sensor_ is.  What I care about is the SNR of pixels in
>>> the output image, whether that be an image displayed on a screen or
>>> the dots made by a printer.
>>
>>
>> i have pondered this too, and i suppose the question is whether one could
>> average the pixels on a 24 Mp sensor to get as clean a 12 Mp image as from a
>> 12 Mp sensor; i suspect there are multiple factors beyond the number of
>> photons hitting a photosite that make the relationship non-linear (so that
>> lower Mp would net lower noise even after averaging)
>>
>> but since in general we'd expect the 24 Mp sensor, in bright enough light,
>> to capture much more detail with a comfortably low noise floor, i think we
>> have to choose between low-ISO detail and high-ISO SNR
>>
>>
>>
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