Hi. I have sub exposures of IC 4604 (Rho Ophiuchi Nebula) where the cores of about a half dozen stars have one pixel (in small stars) to several pixels in a couple of the larger stars that are black. I think it is in all the sub exposures (LRGB) but it's most noticeable in the luminance subs. I spent the time getting the x,y positions of all the affected pixels and then I tested a pixel math calculation to change the single pixel problem stars to what I calculated / guessed was the average grayscale of the neighboring pixels around it. It seems to work. The expression I used is:
iff (((x()=="number")&&(y()=="number"), 0.8, $T)
My problem is how to set up a similar calculation do this in the stars with multiple black pixels in the cores - they're not aligned specifically to any geometric shape but I think I could adapt a square, circle or rectangle and maybe calculate something that way. I've gone over your Pixel Math video a few times and still trying to crunch through it to develop a solution. Ultimately, I'd like to develop something I can use to process all the subs via Image Container to correct them.
Questions;
1. Do you think I'm on the right track?
2. Is there an easier way to solve this problem? I don't mind the amount of work involved but I'm guessing someone has run into this issue before me and has worked something out that may be easier.
3. Is there any documentation you can suggest to use as a reference to improve competency in pixel math? I haven't found any. Warren Keller's book doesn't much mention it.
Thanks
Reggie Jones
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