Quote:
Originally Posted by troypiggo
I'm confused by "Rick's method" of software binning. What's the actual process here? Image capture at 1x1 for L and RGB I assume. But what exactly is "software binning" and how would that benefit you in terms of image capture time? Must be missing something here.
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In PixInsight you'd do software binning with IntegerResample (downsample by 2 in Average mode). As with hardware x2 binning you end up with 1/4 of the pixels but twice the per-pixel SNR.
The only difference between hardware and software binning is that you may get a reduction in read noise with hardware binning. If you're sky limited or have a sensor that doesn't bin well (looking at you KAF-*) then this is pretty much irrelevant.
I wouldn't actually do what I suggested. The software binning is really just acting as a noise reduction technique and there are better ways to do that. Since noise tends to be clustered at small spatial scales and low brightness levels, something like MultiscaleLinearTransform with a linear mask will do a better job IMHO.
Cheers,
Rick.