About this webpage

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This website presents work about Color Constancy. It contains an explanation of the topic, as well as an overview of various approaches to obtain it. Further, results of several methods applied to some of the publicly available data sets are provided. Finally, links to various publicly available data sets and source-codes are provided.

If you have any questions, comments, remarks or additions to this website, please write an e-mail to the contact person of this website.

Feel free to refer to this website in your publications if you use any of the information that you recovered from this place (like the pre-computed results of several algorithms on various data sets). Drop me a line if you would like to have your publication mentioned on this page.

News (2)

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We updated the page with new results! Simone Bianco et al. were so kind to share their results of their 2010 Pattern Recognition paper titled “Automatic color constancy algorithm selection and combination”. These results are incorporated in our sections results-per-method and results-per-dataset. They also recomputed the ground truth of the reprocessed version of the Color-checker data set and made these available together with their results on this data set.

Relevant publications

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Recent publications on Color Constancy

  • Articles appearing in Google Scholar (since 2012)
  • Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Maimunah Sapri and Mohd Adly Rosly, “Ubiquitous WLAN/Camera Positioning using Inverse Intensity Chromaticity Space-based Feature Detection and Matching: A Preliminary Result”, International Conference on Man-Machine Systems (ICOMMS 2012), 2012.
  • Wan Mohd Yaakob Wan Bejuri, Mohd Murtadha Mohamad, Maimunah Sapri and Mohd Adly Rosly, “Investigation of Color Constancy for Ubiquitous Wireless LAN/Camera Positioning: An Initial Outcome”, International Journal of Advancements in Computing Technology, vol. 4, no. 7, pp. 269-280, 2012.
  • S. Bianco and R. Schettini, “Color Constancy Using Faces”, in IEEE Conference on Computer Vision and Pattern Recognition, 2012.
  • A. Chakrabarti, K. Hirakawa and T. Zickler, “Color Constancy with Spatio-spectral Statistics”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Accepted, 2011 (Preprint).
  • S. Bianco, G. Ciocca, C. Cusano, and R. Schettini, “Automatic color constancy algorithm selection and combination”, Pattern Recognition, vol. 43, no. 3, pp. 695–705, 2010.
  • B. Funt and L. Shi, “The rehabilitation of maxrgb”, in IS\&T/SID’s Color Imaging Conference, 2010.
  • B. Funt and L. Shi, “The effect of exposure on maxrgb color constancy”, in Proc. SPIE, vol. 7527 Human Vision and Electronic Imaging XV, 2010.
  • A. Gijsenij, T. Gevers, and J. van de Weijer, “Generalized gamut mapping using image derivative structures for color constancy”, International Journal of Computer Vision, vol. 86, no. 1–2, pp. 127–139, 2010.
  • B. Li, D. Xu, W. Xiong, and S. Feng, “Color constancy using achromatic surface”, Color Research and Application, vol. 35, no. 4, pp. 304-312, 2010.
  • M. Mosny and B. Funt, “Cubical gamut mapping colour constancy”, in IS\&T’s European Conference on Color in Graphics, Imaging and Vision, 2010.
  • M. Wu, J. Sun, J. Zhou, and G. Xue, “Color constancy based on texture pyramid matching and regularized local regression”, Journal of the Optical Society of America A, vol. 27, no. 10, pp. 2097–2105, 2010.