How big are your datasets? Would the parameters get better if they were bigger, or have they converged to some optimum?
A couple of typos I spotted: "asses", "he final".
How big are your datasets? Would the parameters get better if they were bigger, or have they converged to some optimum?
A couple of typos I spotted: "asses", "he final".
The generated dataset consists of a few thousand colors. The hue dataset is using 15 different hues only. Some more data there could definitely be useful.
I think the biggest problem is that there isn't that much experimental data overall, especially for wide gamut colors. The hue data is from experiments with sRGB displays if I remember correctly, and CIECAM I think has mostly been derived based on surface paints, which makes it fairly limited.
Comprehensive experiments done using modern calibrated wide gamut displays would be fantastic.
Thanks, will have a look at the typos!