New source-code added: Edge-based Spatio-spectral

We updated the page with new source-code! Mehdi Rezagholizadeh and James J. Clark were kind enough to make their source-code available to the community through this website. The publication related to the software was presented at the the International Conference on Computer and Robot Vision (CRV) in 2013, and is titled “Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy”. The source-code can be found here.

New results and source-code added: Weighted Grey-Edge

We updated the page with new results and source-code! Joost van de Weijer put some effort into making the source-code of our TPAMI-paper titled Improving Color Constancy by Photometric Edge Weighting suited for publication on-line. The source-code of the Weighted Grey-Edge can be found here. Moreover, the results as reported in the paper are also made available in our sections results-per-method and results-per-dataset.

New results added: CART-based Combination

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.

New results added: Spatial Correlations

We updated the page with new results! Ayan Chakrabarti et al. recently had a paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (click here for the corresponding research-page and preprint) and were so kind to share their results. These results are incorporated in our sections results-per-method and results-per-dataset. A full overview of their findings can be found here.

Relevant publications

Publications affiliated with this website

Some recent publications on Color Constancy (requested)

  • Articles appearing in Google Scholar (since 2013)
  • N. Banic and S. Loncaric, “Color Cat: Remembering Colors for Illumination Estimation”, Signal Processing Letters: 22(6) (2015), pp 651-655.
  • Nikola Banic and Sven Loncaric, “Improving the White patch method by subsampling”, in IEEE International Conference on Image Processing (ICIP), 2014. The project website, including source-code, can be found here.
  • Nikola Banic and Sven Loncaric, “Color Rabbit: Guiding the Distance of Local Maximums in Illumination Estimation”, in IEEE International Conference on Digital Signal Processing (DSP), 2014. The project website, including source-code, can be found here.
  • Nikola Banic and Sven Loncaric, “Using the Random Sprays Retinex algorithm for global illumination estimation”, Proceedings of the Croatian Computer Vision Workshop, 2013. The project website, including source-code, can be found here.
  • M. Rezagholizadeh and J.J. Clark, “Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy”, in International Conference on Computer and Robot Vision (CRV), 2013.
  • 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.

About this webpage

Featured

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, as well as reproduction errors (as proposed by Finlayson and Zakizadeh at BMVC 2014). 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.