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That's 500x500, I'm sure you can get good results at 32x32 or 64x64 but then part of your color choice is also getting done by the downsampling algorithm. I wonder if you could get away with just using a downsampling algorithm into a 1x1 and just use that as the main color.

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That last one is talked about in the article -- it sucks!

I think if you were going to "downsample" for the purpose of creating a color set you could just scan through the picture and randomly select 10% (or whatever) of the pixels and apply k-means to that and not do any averaging which costs resources and makes your colors muddy.

Random sampling makes a lot of intuitive sense, but unfortunately doesn't work well. I just answered over at lobsters: https://lobste.rs/s/t43mh5/okmain_you_have_image_you_want_co...

I should probably add this nuance to the post itself.

Edit: added a footnote

How about sampling more from the more "prominent" areas of the image[0] and less from less "prominent" areas?

[0]: https://dgroshev.com/blog/okmain/img/distance_mask.png?hash=...

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