Many illumination-estimation methods are based on the assumption that the imaged scene is lit by a single course of illumination; however, this assumption is often violated in practice. We investigate the effect this has on a suite of illumination-estimation methods by manually sorting the Gehler et al. ColorChecker set of 568 images into the 310 of them that are approximately single-illuminant and the 258 that are clearly multiple-illuminant and comparing the performance of the various methods on the two sets. The Grayworld, Spatio-Spectral-Statistics and Thin-Plate-Spline methods are relatively unaffected, but the other methods are all affected to varying degrees.
Presented at the AIC International Colour Association conference, May 2015.
Xu, L., and Funt, B., "How Multi-Illuminant Scenes Affect Automatic Colour Balancing," Proc. AIC 2015 International Colour Association Conference, Tokyo. May 2015.
Proc. AIC 2015 International Colour Association Conference
How Multi-Illuminant Scenes Affect Automatic Colour Balancing
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