5 Commits

Author	SHA1	Message	Date
kris	3159a09c27	Uncomment	2021-11-18 20:33:21 +00:00
kris	ed2082344a	Working version! Quantize the k-means centroids in 12-bit //gs RGB ... space but continue to use CAM16-UCS for distances and updating centroid positions, before mapping back to the nearest legal 12-bit RGB position. Needs some more work to deal with the fact that now that there are discrete distances (but no fixed minimum) between allowed centroid positions, the previous notion of convergence doesn't apply. Actually the centroids can oscillate between positions. There is room for optimization but this is already reasonably performant, and the image quality is much higher \o/	2021-11-17 22:49:06 +00:00
kris	3544bd74c8	Update comment	2021-11-02 22:14:59 +00:00
kris	0f1ec6f6f2	Optimize memory a bit	2021-11-02 21:25:00 +00:00
kris	feefdb5dc6	Use .npy format for RGB to CAM16UCS conversion matrix, and get rid of precomputed CIE2000 distances	2021-07-19 18:35:44 +01:00