Abstract
Color constancy is a fundamental research topic in color and vision. Numerous methods have been proposed in recent years. New methods are highly accurate but tend to be more complex. This paper proposes a simple low-level statistical algorithm based on a new hypothesis, the grey block-differencing hypothesis, which states that the average of reflectance differences of adjacent blocks in a scene is achromatic. The new method has almost the same complexity as the simplest methods (i.e., grey world and max-RGB). Experimental results demonstrate that the accuracy of the proposed method is exceptional.
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Lai, S., Tan, X., Liu, Y. et al. Fast and robust color constancy algorithm based on grey block-differencing hypothesis. OPT REV 20, 341–347 (2013). https://doi.org/10.1007/s10043-013-0062-x
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DOI: https://doi.org/10.1007/s10043-013-0062-x