We extend a method for color weak compensation based on the criterion of preservation of subjective color differences between color normal and color weak observers presented in [2]. We introduce a new algorithm for color weak compensation using local affine maps between color spaces of color normal and color weak observers. We show how to estimate the local affine map and how to determine correspondences between the origins of local coordinates in color spaces of color normal and color weak observers. We also describe a new database of measured color discrimination threshold data. The new measurements are obtained at different lightness levels in CIELUV space. They are measured for color normal and color weak observers. The algorithms are implemented and evaluated using the Semantic Differential method. © 2014 Springer International Publishing.
CITATION STYLE
Kojima, T., Mochizuki, R., Lenz, R., & Chao, J. (2014). Riemann geometric color-weak compensation for individual observers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8514 LNCS, pp. 121–131). Springer Verlag. https://doi.org/10.1007/978-3-319-07440-5_12
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