Adapting palettes to color vision deficiencies by genetic algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Color Reproduction Using Riemann Normal Coordinates
Computational Color Imaging
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In this paper we describe a novel compensation algorithm for color-weakness based on a new, objective criterion to compare normal observers and color-weak observers, using Riemann geometric properties of color spaces. The criterion is to match the color discrimination thresholds of average, normal observers and a colorweak observer. The method uses local and global isometry theory and provides the two groups of observers with the same color-difference experience. A one-dimensional compensation and simulation of color-weakness is shown as an application of the general approach to the Brettel color-blind model. The 2D and 3D compensations and simulations are illustrated in chromaticity planes and full color spaces.