Computational Color Constancy: Survey and Experiments A. Gijsenij, T. Gevers, J. van de Weijer In IEEE Transactions on Image Processing 2011. [bibtex] [pdf] [url]

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 data sets. Finally, various freely available methods, of which some are considered to be state-of-the-art, are evaluated on two data sets.



Please visit www.colorconstancy.com for an overview of publicly
available source-code and data sets. Also, pre-computed results for
a selected number of methods and data sets can be downloaded.

IEEE Xplore.

@Article{GijsenijTIP2011,
  author       = "Gijsenij, A. and Gevers, T. and van de Weijer, J.",
  title        = "Computational Color Constancy: Survey and Experiments",
  journal      = "IEEE Transactions on Image Processing",
  number       = "9",
  volume       = "20",
  pages        = "2475--2489",
  year         = "2011",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2011/GijsenijTIP2011",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2011/GijsenijTIP2011/GijsenijTIP2011.pdf",
  has_image    = 1
}