It's a great article, and an interesting new colour space. It would be really interesting to see a variety of image transformations done in each of these colour spaces, on a variety of images (photos in particular). E.g. resizing and blurring as jiggawatts suggests, and also things like brightness, contrast, saturation, white-balance, etc.
How big are your datasets? Would the parameters get better if they were bigger, or have they converged to some optimum?
Yeah, would be nice. I've been thinking a bit about following up with that.
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.
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".