Brightness Preserving and Non-parametric Modified Bi-histogram Equalization for Image Enhancement

被引：0
|
作者：
Yao, Zhijun [1 ]
Lai, Zhongyuan [2 ]
Wang, Chun [3 ]
机构：
[1] 723 Inst China Shipbldg Ind Corp, Yangzhou, Jiangsu, Peoples R China
[2] Jianghan Univ, Inst Interdisciplinary Res, Wuhan, Peoples R China
[3] China Acad Engn Phys, Inst Comp Applicat, Mianyang, Peoples R China
来源：
2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2016年
关键词：
Histogram modification; Histogram equalization; Image objective evaluation measure; Brightness preserving; 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：
This paper presents a new image enhancement method by histogram equalization called Brightness Preserving and Nonparametric Modified Bi-histogram Equalization (BPNMBHE). Our method consists of three steps: (i) The input original image is divided into two sub images using the average intensity value. (ii) We use the histogram modification technique to maximize entropy and control over enhancement. (iii) Two sub images are enhanced by the traditional histogram equalization method independently and then are merged into one output enhanced image. The experimental results show that BPNMBHE is better than other contrast enhancement methods according to image subjective evaluation and various image objective evaluation measures, i.e. Entropy, PSNR, AMBE, and SSIM.
引用
收藏
页码：1872 / 1876
页数：5
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