Proceedings PaperApproximating the Munsell book of color with the generalized lightness, hue, and saturation color model
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The uniformity of a color model (space) is a desirable property for various applications, one of which is color imaging and visualization of quantitative information. In such applications, another desirable property is the availability of efficient algorithmic transformations between the given model and other color models (e.g., RGB for CRT displays, XYZ for standard specifications). The uniformity of the CIELUV and CIELAB spaces is limited to local neighborhoods and rather inadequate globally. The transformations from CIELUV and CIELAB to other spaces are mathematically complex and computationally inefficient. The Munsell Book of Color presents true uniformity but covers only a subset of all visible colors ( roughly 1600 uniformly spaced samples). Transformations to other spaces are also complex and require additional interpolations for points not in the original subset. GLHS—the generalized lightness, hue, and saturation color model  is a family of LHS models whose members are selected parametrically. A single pair of algorithms provides efficient transformations between all family members and the RGB model. We discuss an optimization process to find a GLHS family member that is the closest approximation to the Munsell Book of Color. We compare the resulting model to the hexcone model, the Munsell Book of Color, and to the CIELUV space.