Pranalabs · Oct 13, 2025, 06:53 PM
David Foust · Oct 13, 2025, 05:50 PM
Thanks for chasing this one down the rabbit hole! I was curious if this would be worth trying some day and it's clear the answer is no, at least not under circumstances similar to yours. Did you also stack only the mono and run a SNR analysis? What was the result?
I'm guessing the SNR on the OSC may be higher because of signal bleed from overlap in bandpass from the Bayer matrix on the osc sensor?
Nonetheless… interesting result!
Hi @David Foust ,
Let's say that I stacked the 52 mono images but did not align and measure them on the FOV and resolution of those OSC.
If I measured them natively at 1.24"/pix, I would probably get a better but misleading SNR.
One thing I noticed is that WBPP has problems with weighting in this case. In my opinion, the difference in resolution and debayering combined do a lot of damage. Anyway, good to know. I have a few other ideas for future attempts, but I would have to create an ad-hoc script to replace WBPP, perhaps using Bayer Drizzle 1x....for now, this is fine.
My strategy will be as follows:
Broadband subjects:
1) OSC Camera @ 2.2"/pix for RGB imaging (UVIR or L-QEF filter)
2) Mono Camera @1.24"/pix for luminance or narrowband (e.g., Ha for galaxies)
Narrowband subjects:
1) OSC Camera @ 2.2"/pix to capture broadband RGB (UVIR or L-QEF filter) or capture Ha and OIII (L-Extreme) like a sort of Bin 2x (in a nutshell)
2) Mono Camera @1.24"/pix - Ha to use as Luminance or SII because I don't get it with the first setup. I would not shoot OIII and I will no longer stack the same band for both
Best regards
Gianluca
Yea, that’s about where I landed, although for narrowband, using Ha or Sii for luminance will result in a large mismatch of luminance and chrominance which isn’t ideal. Might make a pretty picture, but you’ll end up emphasizing one band in luminance, so the chrominance mapping to luminance will be off, much like I saw in the crescent series I presented above.
In you example image, I guess I don’t understand how the addition of Mono images could degrade S/N, assuming the OSC stack was up-sampled to the same “/pix as the mono. Even in the example single image comparison image you posted earlier, the mono image had far less noise, and that was before up-sampling the OSC image to match the mono image.
Were the OSC images upsampled before putting in WBPP? If not, since the measuring/weighting in WBPP is done before any upscaling, it’ll put more weight than it should on the lower resolution image since it’ll probably have tighter FWHMs and perhaps similar S/N per subexposure. That’s why I combined each set first and then did pixel math to put less weight on the lower resolution stack. But, even then, it really wasn’t worth it as you concluded.
I think your conclusions are valid, just trying to understand your data to support them.