Color constancy using stage classification

  • Authors:

  • Rui Lu;Arjan Gijsenij;Theo Gevers;Koen Van De Sande;Jan-Mark Geusebroek;De Xu

  • Affiliations:

  • School of Computer and Information Technology, Beijing Jiaotong University and Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;Intelligent Systems Lab Amsterdam, University of Amsterdam;School of Computer and Information Technology, Beijing Jiaotong University

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

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%.