Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74685
Title: Evolutionary color constancy algorithm based on the gamut mapping paradigm
Authors: Munteanu, Cristian
Agostinho, Rosa
Galan, Manuel
Rubio Royo, Enrique 
UNESCO Clasification: 1203 Ciencia de los ordenadores
Issue Date: 2005
Publisher: Springer
Journal: Lecture Notes in Computer Science 
Conference: 10th International Conference on Computer Aided Systems Theory - EUROCAST 2005 
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.
URI: http://hdl.handle.net/10553/74685
ISBN: 978-3-540-29002-5
ISSN: 0302-9743
DOI: 10.1007/11556985_53
Source: Moreno Díaz R., Pichler F., Quesada Arencibia A. (eds) Computer Aided Systems Theory –EUROCAST 2005. Lecture Notes in Computer Science, [ISSN 0302-9743],v. 3643, p. 404-409, (2005). Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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