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.
Highlights
Image enhancement is a necessary technique for visual perception of human beings and machine perception in various environments
We show the experimental results of grayscale and color image enhancement using the standard image database SIDBA [10], and demonstrate that the proposed AgH equalization (AgHE) method can enhance the saturation of
We proposed a color image enhancement method, where a new histogram aggregating R, G and B color channels of a color image is defined, and equalized to enhance the visual quality of the color image
Summary
Image enhancement is a necessary technique for visual perception of human beings and machine perception in various environments. Experimental results show that the proposed methods can enhance the saturation of color images better than Naik and Murthy’s and Yang and Lee’s methods while the hue is moderately preserved.
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