Computational Color Constancy: Survey and Experiments

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 propose...

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Veröffentlicht in:IEEE transactions on image processing 2011-09, Vol.20 (9), p.2475-2489
Hauptverfasser: Gijsenij, A., Gevers, T., van de Weijer, J.
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2011.2118224