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http://dx.doi.org/10.5909/JBE.2014.19.4.453

Bi-Histogram Equalization based on Differential Compression Method for Preserving the Trend of Natural Mean Brightness  

Lee, Jae-Won (Dept. of Electronic and Computer Engineering, Chonnam National University)
Hong, Sung-Hoon (School of Electronic and Computer Engineering, Chonnam National Univ. & Information and Telecommunication Research Institute)
Publication Information
Journal of Broadcast Engineering / v.19, no.4, 2014 , pp. 453-467 More about this Journal
Abstract
A typical histogram equalization contrast enhancement effect for improving the image quality is excellent. However, because it appears that excessive changes of the brightness values, The average brightness of the image is changing in units of frames of applications such as a TV video is unsuitable. In order to solve these drawbacks, a modified method of histogram equalization on various studies have been made. But the result images of existing methods sometimes shown visual degradations such as over-enhancement and false contouring. In this paper, we propose improved contrast enhancement method through bi-histogram equalization using target mean brightness based on differential compression method. The proposed method is based on the average brightness value by dividing the histogram, the histogram for each zone, according to the frequency differential of compression. And equalize the modified histogram based on target mean brightness. This allows to suppress deterioration of picture quality, and changes in the average brightness of each frame of video, while maintaining and improving the contrast. Experimental results show that the proposed method compared to the conventional method, the average brightness of each frame from a movie well maintained, and no degradation of the image quality showed a good effect to improve the contrast.
Keywords
Bi-Histogram Equalizer; Histogram Compression; Contrast Enhancement; Mean Brightness Preserving; Trend of Mean Brightness;
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