Computational color constancy: Survey and experiments

Arjan Gijsenij, Theo Gevers, Joost Van De Weijer

Research output: Contribution to journalArticleResearchpeer-review

395 Citations (Scopus)


Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods, and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets. © 2011 IEEE.
Original languageEnglish
Article number5719167
Pages (from-to)2475-2489
JournalIEEE Transactions on Image Processing
Issue number9
Publication statusPublished - 1 Dec 2011


  • Color constancy
  • Illuminant estimation
  • Performance evaluation
  • Survey


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