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http://dx.doi.org/10.9717/kmms.2017.20.2.188

An Improvement of Histogram Equalization Using Edge Information of an Image  

Yun, Jong Seob (Dept. of Computer Eng., Seokyeong University)
Kim, Jin Heon (Dept. of Computer Eng., Seokyeong University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.2, 2017 , pp. 188-195 More about this Journal
Abstract
The paper presents a histogram equalization method using the edge information of an image to be processed. The basic idea of this method is to carry out histogram equalization with edge information, which is important and essential for object conformation. In the proposed method, the edge information is used to generate histogram for the equalization process. It is found to be effective to suppress the histogram spikes that cause quantum jumps in mapping function for the equalization process. The proposed method is tested for randomly selected 30 images and compared to conventional approaches with a quantitative measure to check it preserves the structural similarity. Experimental results show that the proposed method has better performance and no artifacts caused by histogram spikes.
Keywords
Histogram Equalization; Histogram Spike; Contrast Enhancement;
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Times Cited By KSCI : 2  (Citation Analysis)
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