Abstract
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.
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Kojima, T., Mochizuki, R., Lenz, R., Chao, J. (2014). Riemann Geometric Color-Weak Compensation for Individual Observers. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. Universal Access to Information and Knowledge. UAHCI 2014. Lecture Notes in Computer Science, vol 8514. Springer, Cham. https://doi.org/10.1007/978-3-319-07440-5_12
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DOI: https://doi.org/10.1007/978-3-319-07440-5_12
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07439-9
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