(02-18-2024, 09:47 AM)Ofnuts Wrote: Two fundamentals problems with the image:
My processing:
- Color temperature isn't quite right
- Not many values to work with in these trees, so any change there will create blobs
- Convert image to high-precision
- Add a very low HSV noise (just enough V to make the histogram continuous) to avoid being hit by quantization problems
- Colors > Color temperature to improve the color temperature (eyeballed it...)
- Create a luminosity mask that covers the tree and the lawns (pretty much a dark/midtones one, with the water painted over at the bottom)
- Using the mask a a selection, add a slight boost to the Green channel in Curves
Ofnuts,
What a class! ?
The way some image problems were identified and a procedure was presented was fantastic!
I couldn't point out these problems myself even looking at this image for hours.
I have no idea what a suitable Color Temperature would be for this photo.
I liked the feature of adding HSV noise to normalize the histogram. ?
I always wanted to know how to cover the holes in my histograms when I make my edits and my histogram, which was that uniform mountain, starts to look like a bunch of skyscrapers separated by small gaps.
One option I recently discovered was G'MIC - Repair - Unquantize [JPEG Smooth], but I haven't played with that filter yet.
One difficulty I had in following this procedure was adjusting the color Temperture 'correctly'.
This filter seems unintuitive to me in terms of how to use it.

Normally, the higher the temperature value in Kelvin, the more we move toward bluish tones. The lower the values, the more we move towards red tones (yellow - orange - red).
And this is exactly what happens when I slide the values in the Original temperature option: To the left, warm tones (reddish); to the right, cold tones (bluish);
But in the Intended temperature option this is reversed, to the left the image gains bluish tones and to the right it becomes yellow (not bluish). ?
I may have to find some good material that explains this filter.
The only problem I found with your presented procedure is that in the end the image ends up with a little more noise than I would like (even though I tried to use as little HSV noise as possible; I used:
Dulling 2, Hue 3, Saturation 0, Value 0.015
There’s a lot to learn here, but it’s always a pleasure in the process.
Thanks for the class!
.....
Samj Portable - Gimp 2.10.28 - Win-10 /64.
Samj Portable - Gimp 2.10.28 - Win-10 /64.