Image Enhancement using Bi-Histogram Equalization with Adaptive Sigmoid Functions

被引:0
|
作者
Arriaga-Garcia, Edgar F. [1 ]
Sanchez-Yanez, Raul E. [1 ]
Garcia-Hernandez, M. G. [1 ]
机构
[1] Univ Guanajuato, DICIS, Dept Elect Engn, Obregon, Leon, Mexico
来源
2014 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (CONIELECOMP) | 2014年
关键词
CONTRAST ENHANCEMENT;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Among the contrast-enhancement methods, histogram equalization is the most popular. However, its major drawback is that it over-enhances the image and shifts its mean brightness and, consequently, it creates an unnatural look. In this paper, we propose a method that overcomes this problem by splitting the image histogram into two sub-histograms, using the mean as a threshold, and replacing their cumulative distribution functions with two smooth sigmoids with their origins placed on the median of the sub-histograms. Our method has been tested on gray scale images taken from the USC-SIPI database. Experimental results have shown that the proposed method outperforms other state-of-the-art methods in terms of contrast-enhancement and brightness-preservation.
引用
收藏
页码:28 / 34
页数:7
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