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README.md

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@@ -70,7 +70,9 @@ Palette provides tools for both color manipulation and conversion between color
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### Color Spaces
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"RGB" (which we now know, from the discussion above, is usually actually referring to the **Linear sRGB** color space) is probably the most widely known color space, and is great when you want to perform physically plausible math on color (such as in a 2d or 3d rendering program) but it's not the only one. You have probably used a color picker with a rainbow wheel and a brightness slider. That may have been an HSV or an HSL color picker, where the color is encoded as hue, saturation and brightness/lightness. Even though these spaces are defined using 3 values, they *aren't* based on tristimulus values, since those three values don't have a direct relation to human vision (i.e. our S, M, and L cones). Such color spaces are excellent when it comes to humans intuitively selecting color values, though, and as such are the go-to choice when this interaction is needed. They can then be converted into other color spaces in order to actually perform operations on those colors.
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"RGB" (which we now know, from the discussion in the previous section, is usually actually Linear sRGB) and other tristimulus based spaces like CIE Xyz are probably the most widely known color spaces. These spaces are great when you want to perform physically correct math on color (like in a 2d or 3d rendering program) but there are also color spaces that are not defined in terms of tristimulus values.
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You have probably used a color picker with a rainbow wheel and a brightness slider. That may have been an HSV or an HSL color picker, where the color is encoded as hue, saturation and brightness/lightness. Even though these spaces are defined using 3 values, they *aren't* based on tristimulus values, since those three values don't have a direct relation to human vision (i.e. our S, M, and L cones, as discussed in the previous section). Such color spaces are excellent when it comes to humans intuitively selecting color values, though, and as such are the go-to choice when this interaction is needed. They can then be converted into other color spaces in order to actually perform modifications to them
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There's also a group of color spaces that are designed to be perceptually uniform, meaning that the perceptual change is equal to the numerical change. An example of this is the CIE L\*a\*b\* color space. These color spaces are excellent when you want to "blend" between colors in a *perceptually pleasing* manner (for example, in a data visualization) rather than a *physically correct* one.
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