Optimization for a perceptually uniform RGB color space log(Y)-log(B) We present a method to estimate perceptual uniformity of color spaces and to derive a perceptually uniform RGB space using geometrical criteria defined in a logarithmic opponent color representation. Color spaces and color attributes A color stimulus is generally represented by a point in a three-dimensional space. It can be represented in terms of its attributes (hue, saturation and lightness) or in terms of its red, green and blue components (in the case of additive synthesis). The first type of color space is referred as perceptual-the dimensions correlate to the perceived attributes of colors, while the second type is used in color imaging. In a perceptually uniform color space, stimuli of equal hues lie on straight lines and stimuli of equal saturation lie on circles. Colorimetric color space Our transform has the structure of a colorimetric color space, i.e. • XYZ to RGB 3x3 linear transform • White point specification: white point is set to D65 • Color component transfer function (non linearity) Using the logarithm as non linearity defines hue independently from lightness and gamma
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