Color Constancy Using Stage Classification

Publication Teaser Color Constancy Using Stage Classification
R. Lu, A. Gijsenij, T. Gevers, K. E. A. van de Sande, J. M. Geusebroek, D. Xu
In IEEE International Conference on Image Processing 2009.
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The aim of color constancy is to remove the effect of the color of the light source. Since color constancy is inherently an ill-posed problem, different assumptions have been proposed. Because existing color constancy algorithms are based on specific assumptions, none of them can be considered as universal. Therefore, how to select a proper algorithm for a given imaging configuration is an important question. In this paper, image stage models are used to aid the selection of a specific color constancy algorithm. Image stages are 3D models of a scene. Based on stage classification, the most suitable color constancy algorithms is selected. Experiments on large scale image datasets show that the proposed algorithm using stage classification outperforms state-of-the-art single color constancy algorithms with an improvement of almost 8%.

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Bibtex Entry
  author       = "Lu, R. and Gijsenij, A. and Gevers, T. and van de Sande, K. E. A.
                  and Geusebroek, J. M. and Xu, D.",
  title        = "Color Constancy Using Stage Classification",
  booktitle    = "IEEE International Conference on Image Processing",
  year         = "2009",
  url          = "",
  pdf          = "",
  has_image    = 1
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