Color Constancy for Scenes with Varying Illumination

Kobus Barnard, Graham Finlayson, Brian Funt

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

We present an algorithm which uses information from both surface reflectance and illumination variation to solve for color constancy. Most color constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good color constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.

Original languageEnglish (US)
Pages (from-to)311-321
Number of pages11
JournalComputer Vision and Image Understanding
Volume65
Issue number2
DOIs
StatePublished - Feb 1997

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

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