Abstract
A novel method is developed for the dichromat’s visual correction. This scheme includes three steps. Firstly, two similarity matrices are established respectively for the normal three-dimensional color space and the color plane in which dichromats can distinguish all the colors. Then a 3D-2D mapping relationship is searched based on these similarity matrices. Finally, the original color image is transformed to a new one which is suitable for dichromats. The experiments on both color test images and real images demonstrate the ability of the scheme for color blindness correction. With the fixed transformation of color space, this scheme may have capability to help training dichromats to recognize most colors.
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Deng, Y., Wang, Y., Ma, Y., Bao, J., Gu, X. (2007). A Fixed Transformation of Color Images for Dichromats Based on Similarity Matrices. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_103
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DOI: https://doi.org/10.1007/978-3-540-74171-8_103
Publisher Name: Springer, Berlin, Heidelberg
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