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Chromatic adaptation and white-balance problem

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2 Author(s)
K. Hirakawa ; New England Conservatory of Music, Boston, MA, USA ; T. W. Parks

The problem of adjusting the color such that the output image from a digital camera, viewed under a standard condition, matches the scene observed by the photographer's eye is called white-balance. While most white-balance algorithms approach the problem using the coefficient law (von Kries), the coefficient law has been shown inaccurate. In this paper, we instead formulate the white-balance problem using Jameson and Hurvich's induced opponent response chromatic adaptation theory. The solution to this white-balance problem reduces to a single matrix multiplication. The experimental results using existing illuminant estimation methods verify that the induced opponent response approach to solving the white-balance problem yields more neutral colors in the white panels of the Macbeth color chart than the traditional methods. The computational cost of the proposed method is virtually zero.

Published in:

IEEE International Conference on Image Processing 2005  (Volume:3 )

Date of Conference:

11-14 Sept. 2005