Quote:
Originally Posted by codemonkey
My point still remains though: after seeing the images I captured here, do you not even start to question why we optimise for SNR? There's no doubt that when read noise limited longer subs will give you better SNR. But again, looking at those images, do you really care which one has the better SNR? If you did, you'd discard the cleanest of the images due to its inferior SNR.
So while you've measured the relative SNR, I'm not convinced that SNR in itself means much at all in practical application.
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My experience is that things work in practice pretty much as expected in theory and that higher SNR images look better. Not sure what has happened with your experiment but I wouldn't jump to any conclusions
Noise is random and hard to estimate accurately unless you have a statistically significant number of samples.
Cheers,
Rick.