Evolutionary color constancy algorithm based on the gamut mapping paradigm

Authors:
Cristian Munteanu;Agostinho Rosa;Manuel Galan;Enrique Rubio Royo
Affiliations:
,Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisboa, Portugal;Instituto de Sistemas e Robotica, Instituto Superior Tecnico, Lisboa, Portugal;CICEI, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain;CICEI, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain
Venue:
EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
Year:
2005

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Abstract

In recent years, extensive work has been done to design algorithms that strive to mimic the robust human vision system which is able to perceive the true colors and discount the illuminant from a scene viewed under light having different spectral compositions (the feature is called “color constancy”). We propose a straightforward approach to the color constancy problem by employing an Interactive Genetic Algorithm [1] (e.g. a Genetic Algorithm [2], [3] guided by the user) that optimizes a well known and robust variant of color constancy algorithm called “gamut mapping” [4]. Results obtained on a set of test images and comparison to various color constancy algorithms, show that our method achieves a good color constancy behavior with no additional knowledge required besides the image that is to be color-corrected, and with minimal assumptions about the scene captured in the image.