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Consider a three-dimensional cylindrical coordinate system. By defining a color at an arbitrary point, we can represent a color space.Of course, when we consider the relationship between hue and valeurs, it would be more appropriate to express color digitally as a density distribution.Of course, if we consider the relationship between hue and valeurs, it would be more appropriate to express color digitally as a density distribution. Consider, for example, the light and dark areas of a picture’s distribution in color space. Let’s assume that there is an operator that can map light areas to dark areas.
The operator defined above would not be linear. However, for something like the “distribution” of the set of colors (values in space) defined for a picture, the operator is linear if it is limited to the neighborhood of a certain point, and if we choose only two points and those two points are connected by an operator, then the operator can also be linear.
If we choose only two points and those two points are connected by an operator, we can take a linear one. In other words, in the sense of being bound by the intrinsic color, we can create a color distribution with a simple operator as long as we decide on the starting point. By mapping the operator to the layer mode, we can simulate subtractive color mixing.