However, Wu's method needs lookup tables for the whole color (hyper)cube, which requires either large (or for RGBA still ridiculous) amount of RAM or reduced precision, and losing bits of input is way worse than having suboptimal division. Wu's method is nice in this case because it exactly measures variance of sets after a split, while median cut just estimates. I've tested median cut that can cut at various angles and variants that cut out spheres, and it didn't make much difference.Ĭhoice of the box to cut and the location where you cut is more important. Aligned subdivisions are not that much of a problem actually.
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