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I got really bored so I wrote a simple dithering tool in Kotlin. It is surprising how little loss you get when reducing an image to 8 colors. Source code: gist.github.com/Frederikam/115

@fred
Wow that's quite something. I guess it's kind of like using more than one pixel as a pixel, displaying the colour using a number of dots... presumably it can't be saved as a jpeg though? Is it a png?

@puffinux It can be saved as JPG, but the result is quite poor

The algorithm only deals with one pixel at a time, but tries to distribute the errors to unprocessed pixels, creating more balance

@fred
Interesting... I've heard people say that as it reduces file size, it's a useful technique for sites that operate on poor internet speeds / for people browsing with slow internet.

@puffinux In theory you could represent a pixel as 3 bits without further compression

@fred
I'm not sure how that compares to other image encodings, but that would certainly be interesting... some sort of header defining it as an image, a load of binary, and something to close it off...

@puffinux I think that's more or less how PNGs work, with some lossless compression as well

@fred
Oh right 😅 I don't know what I'm talking about. Just thinking it through I guess.

@fred i get weird flickers when i scroll that image at 100% zoom. Looks surprisingly good when it's still though!

@fred I wonder if adding a very small gaussian blur by the image reader wouldn't enhance a bit the perceived quality
@fred Yep the result is not so bad, but maybe too blurry to be usefull.

Maybe there is an interesting compromise doable :
a way bigger picture with only 8 colors. The displayer blurs it and then shrink it.
I wonder if like this a picture would take less data than the original.

@lord here's the unblurred image, followed by an upscaled then blurred image, followed by the second image down-scaled

@fred not bad, no ?
the down-scaled one looks great.

@fred
BTW, the best way to get a good color reduction is to use some clustering algorithm to get the best color combination. There's plenty of relevant literature in the academia (key word: color quantization).

web.cs.wpi.edu/~matt/courses/c

Self organizing networks like Kohonen's
( en.m.wikipedia.org/wiki/Self-o ) give out the best results.

@rick_777 looks interesting. Perhaps I'll try it out some day.

@tija being a masochist I'm sure she would like that

@fred
This just federated to me and I'm boosting it again thx still looks cool
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