I realized this when I had reduced the colors to 13 in one of my experiments and then checked with Photoshop indexing feature the exact number of colors and there were exactly 13 while Photo created a palette with non-existent mid tones (and as mentioned, the max number seems to be 68). I have not found the common denominator, it might have something to do with the presence of pure black and white in the image. Not always, though (as witnessed in a couple of videos in my posts in this thread). It is not really taking the colours from the document, but it computes average colours from it, as it seems size ):Ĭurrent_color = pix # Get the RGBA Value of the a pixel of an imageĬlosest_color = closest ( list_of_colors, current_color )Īrray_colors. size Īrray_colors = for y in range ( 0, im. size )) # Get the width and hight of the image for iterating over load () print ( "images size = " + str ( im. open ( 'dune-2021.jpg' ) # Can be many different formats. Smallest_distance = colors return smallest_distance sum (( colors - color )** 2, axis = 1 )) List_of_colors = ,] def closest ( colors, color ):ĭistances = np. 8).įrom PIL import Image #color palette from image It sometimes creates up to 68 colors even if the image only has significantly less (e.g. While playing with these adjustments I noticed that Affinity Photo's palette creation based on document is buggy. Then an HSL adjustment layer is used to show how Hue and Saturation adjustments are limited by the LUT on top of the stack. In the following clip the LUT image is first created using G'Mic to create 8 colors and then the source image is reduced to 8 colors, after which the LUT is applied. But if you first reduce the number of colors in the image by using G'Mic and then apply a LUT with the same number of colors, you get a mapping where the source image will have the maximum of colors of the LUT image. 8 colors, you would end up having lots of "antialiased" mid tones that you would not get in a genuine indexed image. Normally LUT adjustment produces mid tones according to the source image so even if you have a LUT that only has e.g. You can use the LUT Adjustment to achieve pretty much the same that can be done when indexing images with custom palettes.
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