Color Constancy based on the Grey-Edge Hypothesis

Abstract : A well-known color constancy method is based on the Grey-World assumption i.e. the average reflectance of surfaces in the world is achromatic. In this article we propose a new hypothesis for color constancy, namely the Grey-Edge hypothesis assuming that the average edge difference in a scene is achromatic. Based on this hypothesis, we propose an algorithm for color constancy. Recently, the Grey-World hypothesis and the max-RGB method were shown to be two instantiations of a Minkowski norm based color constancy method. Similarly we also propose a more general version of the Grey-Edge hypothesis which assumes that the Minkowsky norm of derivatives of the reflectance of surfaces is achromatic. The algorithms are tested on a large data set of images under different illuminants, and the results show that the new method outperforms the Grey-World assumption and the max-RGB method. Results are comparable to more elaborate algorithms, however at lower computational costs.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing (ICIP), Sep 2005, Genoa, Italy. IEEE Computer Society, II, pp.722-725, 2005, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1530157〉. 〈10.1109/ICIP.2005.1530157〉
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Soumis le : lundi 20 décembre 2010 - 09:07:13
Dernière modification le : mercredi 13 avril 2016 - 15:31:03

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Joost Van de Weijer, Theo Gevers. Color Constancy based on the Grey-Edge Hypothesis. IEEE International Conference on Image Processing (ICIP), Sep 2005, Genoa, Italy. IEEE Computer Society, II, pp.722-725, 2005, 〈http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1530157〉. 〈10.1109/ICIP.2005.1530157〉. 〈inria-00548503〉

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