So it turns out that comparing the difference between RGB colors is actually a really shitty way to determine color distance. There are colors which have similar RGB representations while being perceptually distant, and perceptually similar colors with vastly different representations.
So I decided to run a series of large scale double-blind (heh) experiments on human perception, analyzing the output with a dizzying array of statistical techniques and— oh wait, no I didn’t, because scientists have gotten that all figured out since the late ’70s.
That group of color scientists, the International Commission on Illumination (CIE, acronyms are a bit weird when they’re international, and by international, I mean French), have been working tirelessly since the early 20th century to create increasingly nuanced mathematical models of color perception.
Rather than give up and use tables (of a slightly different sort), they’ve elected to add increasingly nuanced corrections to the originally elegant euclidean distance metric. Somewhere on that trek, they’ve actually abandoned the notion of actually being a metric- the DeltaE function, which defines how to calculate the perceptual distance between any two colors, is actually only a quasimetric— that is, it isn’t guaranteed that the distance from a point A to a point B is the same as the distance from point B to point A.
I originally wrote this blog post to be parody of all the buzz over the discover of evidence for Alan Guth’s cosmic inflationary theory (hence the diagram), but I kind of waited a while for the content to ferment (albeit not the decades requisite to be worthy of a Nobel).
So here’s a little library for converting between L*a*b* and sRGB, as well as computing DeltaE. There’s probably stuff like configuring the white point that I haven’t adequately considered, but this was good enough for my purposes of filtering colors for Project Naptha.
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