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http://dx.doi.org/10.5573/ieie.2016.53.9.110

Saturation Improvement Algorithm with Contrast Enhancement for Color Images Considering Channel Correlation  

Song, Ki Sun (Department of Electrical and Electronic Engineering, Yonsei University)
Han, Jaeduk (Department of Electrical and Electronic Engineering, Yonsei University)
Kang, Moon Gi (Department of Electrical and Electronic Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.53, no.9, 2016 , pp. 110-117 More about this Journal
Abstract
Applying the contrast enhancement algorithms to luminance values of color images is a widely used approach to enhance the contrast of color images. The results obtained by this approach have reduced saturation compared with that of the original images in spite of contrast enhancement without color degradation. Applying the contrast enhancement algorithm to each channel of color images is another approach for the contrast enhancement of color images. This method produces improved images in terms of contrast and saturation while the hue of original images is changed. In this paper, main cause of color degradation is analyzed and then solving the problem based on the analysis. The channel adaptive contrast enhancement method considering characteristics of each channel is also proposed to deal with color degradation. As a result, the proposed method enhances the contrast and saturation simultaneously without color degradation. Experimental results show that the proposed method outperforms the conventional methods not only on subjective evaluation but on objective criteria.
Keywords
Contrast enhancement; Saturation enhancement; Channel correlation; Color degradation;
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