Quote:
Originally Posted by pvelez
My NR of choice at the moment is MLT using a linear mask. This produces some blotches that are smoothed by ACDNR when I take the image non-linear. So its a double NR step that takes out some of the detail. Then I apply MMT to sharpen - masked with a Lum mask. My challenge is to sharpen the target while not overly accentuating the stars which become far too prominent - I've tried to reduce the stars MRT and then sharpen but it doesn't always work.
I expect the sensible thing to do is to subtract a decent star mask from the Lum mask and then use that to protect stars and background when sharpening - is that your approach? Of course that requires a precise star mask - my learning edge I'm afraid.
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I use MLT with a linear mask before stretching as my initial noise reduction step. I'm not a fan of TGVDenoise. I still use ACDNR for chrominance noise reduction but not on my luminance. If additional nr is required after stretching I use MLT but with a conventional clipped luminance mask.
Yes, a clipped lum mask with stars removed is useful for sharpening. You don't need to be too careful with the star mask if you use a little PixelMath trick: try an expression like "iif(star_mask>0.1,0,$T)" and adjust the 0.1 up and down as needed. Soften the mask a little with Convolution or by removing a couple of wavelet layers afterwards.
Cheers,
Rick.