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A Flexible Auto White Balance Based on Histogram Overlap

  • Tao Jiang
  • Duong Nguyen
  • K. -D. Kuhnert
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7728)

Abstract

Auto white-balance plays a very important role in computer vision, and also is a prerequisite of color processing algorithms. For keeping the color constancy in the real-time outdoor environment, a simple and flexible auto white balance algorithm based on the color histogram overlap of the image is presented in this paper. After looking at a numerous images under different illuminance, an essential characteristic of the white-balance, the color histogram coincidence, is generalized as the basic criterion. Furthermore the overlap area of the color histogram directly reflects this coincidence, namely, when the overlap area of the color histogram reaches the maximum, the respective gain coefficients of color channels can be derived to achieve the white-balance of the camera. Through the subjective and objective evaluations based on the processing of real world images, the proposed histogram overlap algorithm can not only flexibly implement the auto white-balance of the camera but also achieve the outstanding performance in the real-time outdoor condition.

Keywords

Color Channel Color Histogram Color Temperature Color Constancy White Balance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Tao Jiang
    • 1
  • Duong Nguyen
    • 1
  • K. -D. Kuhnert
    • 1
  1. 1.Institute of Real Time Learning SystemsUniversity of SiegenSiegenGermany

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