Adaptive Aggregated Histogram Equalization for Color Image Enhancement without Gamut Problem

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  • Chen, Wei
    Department of Communication Design Science, Graduate School of Design, Kyushu University
  • Inoue, Kohei
    Department of Communication Design Science, Faculty of Design, Kyushu University : Associate Professor
  • Hara, Kenji
    Department of Communication Design Science, Faculty of Design, Kyushu University : Associate Professor

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Abstract

In color image enhancement, gamut problem is one of the fundamental issues for practical image processing tasks. However, recent color image enhancement methods without gamut problem fail to preserve or enhance color saturation, which is an essential property for visual perception. In this paper, we propose a color image enhancement method, in which we introduce a new histogram named aggregated histogram (AgH), which is computed with R, G and B components of all pixels in a color image, and then equalize AgH to obtain an enhanced color image in a similar manner to conventional grayscale histogram equalization (GHE). As a result, the proposed method is free from gamut problem as well as GHE. Moreover, we extend the proposed AgH equalization (AgHE) method to adaptive AgHE (AAgHE), which equalizes a local histogram at each pixel of a color image. Experimental results show that the proposed methods produce better results than existing color image enhancement methods. Consequently, the proposed methods can be a good alternative to conventional color image enhancement methods without gamut problem.

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