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by mkl
2010 days ago
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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? A couple of typos I spotted: "asses", "he final". |
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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!