Finally, I’ve found it! After thorough testing and experimentation my conclusions are: The correct way is to calculate maximum possible difference between the two colors. Formulas with any kind of estimated average/typical difference had room for discontinuities. I was unable to find a working formula that calculates the distance without blending RGBA colors with some … Read more
Its about endianness. RGB is a byte-order. But a deliberate implementation choice of most vanilla Graphics libraries is that they treat colours as unsigned 32-bit integers internally, with the three (or four, as alpha is typically included) components packed into the integer. On a little-endian machine (such as x86) the integer 0x01020304 will actually be … Read more
Since 2010 when the linked question was asked the corresponding code moved from scipy to a separate toolkit: http://scikit-image.org/ So here’s the code I was actually looking for: from skimage import io, color rgb = io.imread(filename) lab = color.rgb2lab(rgb) It should also be noted that due to Lab nature srgb->lab conversion depends on an additional … Read more
My first thought on this is “how to generate N vectors in a space that maximize distance from each other.” You can see that the RGB (or any other scale you use that forms a basis in color space) are just vectors. Take a look at Random Point Picking. Once you have a set of … Read more
The correct answer is NO, because there is no correct working model of how “color mixing in the real world” really works. It is FAR too complex and conditional and not really at all like the simple Red-Blue-Yellow stuff that we learned in school (it in fact requires all of Chemistry and a lot of … Read more
Let’s say you’re working with RGB colors: each color is represented with three intensities or brightnesses. You’ve got to choose between “linear RGB” and “sRGB”. For now, we’ll simplify things by ignoring the three different intensities, and assume you just have one intensity: that is, you’re only dealing with shades of gray. In a linear … Read more