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Evolutionary Color Constancy Algorithm Based on the Gamut Mapping Paradigm

Computer Aided Systems Theory – EUROCAST 2005
  • Autor(es)
    C. Munteanu | A. Rosa | M. Galán | E. Rubio
  • Editorial
    Springer Verlag
  • Lugar
    Berlin
  • Tipo de libro
    Capítulo de libro
  • Título del libro
    Computer Aided Systems Theory – EUROCAST 2005
  • Volumen
    3643
  • ISBN
    978-3-540-29002-5
  • Idioma
    Inglés
  • Fecha
    Feb/2005
  • Páginas
    404-409
  • Enlace

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.

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