Quote:
Originally Posted by irwjager
The best course of action is to image R, G and B *without* filter and L *with* filter.
Mathematically speaking, light pollution removal is a trivial problem (as long as the data is not clipped because of it) - it's just a bias in the signal that can be removed, so restoring correct colour in R, G and B is not a problem; just model and subtract.
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I'm interested to hear some details and learn a bit more about this. So you say filter the luminance with a LP filter and shoot colour as is. If using an OSC how would you get around that? Also how do you remove the bias in the signal? Is it in the color channels or LUM. With a pixel math operation?