It's quite a decent article. I prefer the term "color image encoding" for sRGB IEC61966-2, or ITU-R BT.2020 or DCI-P3, because it encapsulates the primaries (red, green, blue in relation to CIE XYZ), tone response curve (often defined with a gamma function, or the sRGB curve which approximates a curve defined by a gamma function of 2.2 but in fact they aren't the same as the article points out), precision or bit depth, the reference viewing condition, and the reference medium.<p>Very often ignoring the differences in reference viewing condition or medium, gets people into trouble when they do transforms between these encodings and think the environment or medium doesn't have to change. For example there are four variants of DCI-P3, with the same primaries, different white points, and different tone response curves, to account for their different reference viewing conditions. Are they all the same color space? Errr, maybe, yes? Are they all the same color imagine encoding? Definitely not. Same for ITU-R BT.709 vs sRGB; same for Adobe RGB (1998) vs opRGB. As the reference mediums differ, so will the dynamic range.<p>CIE XYZ, based on the 1931 standard observer, continues to be put through its paces. There's also the 1964 standard observer derived from that and supplemental observations and research. There's dozens of color appearance models that have appeared, and continue to be an active area of research. Some try to account for various features of human vision including optical illusions (illusions expose them as if they are a kind of trick or failure, but in fact they're a feature) like simultaneous contrast, Bezold effect, distinguishing between saturation, chroma, and colorfulness, and many other aspects of appearance. Recently there's some understanding the idea of a single standard observer is probably wrong, and how to go about categorizing and handling multiple standard observers (i.e. normal color vision) and that is also yet another area of active research.<p>For anyone interested in color science, or having substantial math and/or computing skill, and looking for unique real world application, I highly recommend IS&T's annual Color Imaging Conference. imaging.org