Nonlinear filtering of color images is not as straightforward as nonlinear filtering of grayscale images. In a color image, the intensity value at each pixel location is not represented by a scalar value, but a vector composed of three components, either red, green, and blue (RGB) or hue, saturation, and intensity (HSI). Linear filtering of a color image is the same as filtering a grayscale image because each color component can be treated as a separate grayscale image and filtered independently. Nonlinear filtering of color images, however, requires that the correlation or information common between each color component be included in the filtering process.
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