Cross-Entropy Histogram Equalization

被引：0
|
作者：
Roopaei, Mehdi Senior [1 ]
Agaian, Sos [1 ]
Shadaram, Mehdi [1 ]
Hurtado, Frank [1 ]
机构：
[1] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX USA
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) | 2014年
关键词：
Cross-entropy; Brightness/Darkness decomposition; Image enhancement; Histogram Equalization; CONTRAST ENHANCEMENT; BRIGHTNESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper introduces a novel cross-entropy Histogram Equalization method. The new algorithm is based on separating the density spectrum of an image and then minimizing the so-called Cross-Entropy between the brightness and darkness components. Cross-entropy is used to measure the information-theoretic distance between the image's brightness and darkness. Experimental results show that the cross-entropy histogram equalization method has better performance than Bi-histogram equalization and its modified weighted form.
引用
收藏
页码：158 / 163
页数：6
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