Gray-world assumption on perceptual color spaces

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Abstract

In this paper, the estimation of the illuminant in color constancy issues is analysed in two perceptual color spaces, and a variation of a well-known methodology is presented. Such approach is based on the Gray-World assumption, here particularly applied on the chromatic components in the CIELAB and CIELUV color spaces. A comparison is made between the outcomes on imagery for each color model considered. Reference images from the Gray-Ball dataset are considered for experimental tests. The performance of the approach is evaluated with the angular error, a metric well accepted in this field. The experimental results show that operating on perceptual color spaces improves the illuminant estimation, in comparison with the results obtained using the standard approach in RGB. © 2014 Springer-Verlag Berlin Heidelberg.

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Cepeda-Negrete, J., & Sanchez-Yanez, R. E. (2014). Gray-world assumption on perceptual color spaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8333 LNCS, pp. 493–504). Springer Verlag. https://doi.org/10.1007/978-3-642-53842-1_42

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