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Something that is not being included in the question is that the normalized channel values for R,G and B range from 0 to 1. Let's say they are all at their maximum values of 1. $min(1,1,1)$ is equal to 1, so the equation will simplify to $S = 1 - (3*1)/3 = 0$. This makes sense because if you have all three colors at full then the resulting image will appear ...

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When the text refers to Hue component image, it is to represent what hue value these colors hold, not an actual picture in the text. When the text says H is shown in figure b, it means the numerical representation of these three colors (or hue) are illustrated more clearly when we take away saturation. That being said, the saturation for all four figures (a ...

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This demonstrates till what level of Cb, Cr downsampling human eye can't detect: from PIL import Image import numpy as np def downsample_cb_cr(ycbcr, ds_level): w, h = ycbcr.size ycbcr_np = np.asarray(ycbcr) ycbcr_res = ycbcr.resize((w//ds_level, h//ds_level)) ycbcr_ds = ycbcr_res.resize((w, h)) ycbcr_ds_np = np.array(ycbcr_ds) ...

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