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Sep 12, 2018 at 6:45 comment added meh Thanks for mentioning LAB, I'll give it a look and see if it is suitable for non destructive adjustments.
Sep 11, 2018 at 22:40 history edited user82991 CC BY-SA 4.0
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Sep 11, 2018 at 22:35 comment added user82991 @joojaa the thing "detecting and classifying skin color variations" should be worked in CIELab (=Lab in Photoshop), but the questioner didn't ask it.
Sep 11, 2018 at 22:32 comment added user82991 @meh I must admit that this case has revealed a hole in my knowledge. I had different calculation for the saturation than the generally used. The lightness (=the average of brightest and dimmest RGB channel has been replaced with a BW mix of the RGB channels. The resulted quantity isn't the usual RGB saturation altough it presents the same visible thing. These are the usual formulas rapidtables.com/convert/color/rgb-to-hsl.html. I must remove the claim the saturation can be presented as BW with blending modes and adjustments in Photoshop.
Sep 11, 2018 at 18:25 comment added joojaa Might also be worth working in lab mode.
Sep 11, 2018 at 13:38 comment added meh Yes, it's always nice to know and experiment with new workflow tools, may give me good ideas even if I end up not using it right away!
Sep 11, 2018 at 7:25 vote accept meh
Sep 11, 2018 at 7:25 comment added meh First of all thank you for a solution to my problem and a clear explanation of the hue caveat. Obvious once you think about it. One would have to write a filter that, say, will shift the discontinuity to a hue that is of no matter, for example green when looking for skin imperfections. The example image is just that: something random used to show what I meant, it is by no means a picture that represents what I would call a good shot. :) Could you add to your answer the way to display saturation with layer blending modes?
Sep 10, 2018 at 10:52 history edited user82991 CC BY-SA 4.0
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Sep 10, 2018 at 10:14 history edited user82991 CC BY-SA 4.0
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Sep 10, 2018 at 9:25 history edited user82991 CC BY-SA 4.0
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Sep 10, 2018 at 8:46 history edited user82991 CC BY-SA 4.0
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Sep 10, 2018 at 2:35 history answered user82991 CC BY-SA 4.0