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http://dx.doi.org/10.9717/kmms.2019.22.9.983

Histogram Equalization Algorithm for Suppressing Over-Enhancement and Enhancing Edges  

Mun, Junwon (Dept. of Electrical and Electronic Eng., Graduate School, Yonsei University)
Kim, Jaeseok (Dept. of Electrical and Electronic Eng., Graduate School, Yonsei University)
Publication Information
Journal of Korea Multimedia Society / v.22, no.9, 2019 , pp. 983-991 More about this Journal
Abstract
Histogram equalization method is a popular contrast enhancement technique. However, there are some drawbacks, namely, over-enhancement, under-enhancement, structure information loss, and noise amplification. In this paper, we propose an edge-enhancing histogram equalization algorithm while suppressing over-enhancement simultaneously. Firstly, over-enhancement is suppressed by clipping a transfer function, then, edge enhancement is achieved by using guided image filter. Experiments are carried out to evaluate the performance of the various HE algorithms. As a result, both qualitative and quantitative assessment showed that the proposed algorithm successfully suppressed over-enhancement while enhancing edges.
Keywords
Contrast Enhancement; Histogram Equalization; Guided Image Filter;
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