Trade-off between Mean Brightness and Contrast in Histogram Equalization Technique for Image Enhancement

被引：0

作者：

Kansal, Shubhi ^{[1
]}

Purwar, Shikha ^{[1
]}

Tripathi, Rajiv Kumar ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Elect & Commun Engn, Delhi 110040, India

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA) | 2017年

关键词：

Histogram equalization; Entropy; Contrast Enhancement; Mean Absolute Error;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Histogram equalization is the simplest method of image enhancement. Mean brightness and contrast are important parameters of an image. Artifacts are generated if the original mean brightness of an image is not preserved. A high contrast provides good visual quality. Contrast can be increased by increasing entropy of the image. Entropy can be maximized by making the image histogram as flat as possible. In this paper, the trade-off between mean brightness and maximum entropy performed to achieve high contrast image with conserved mean brightness.

引用

页码：195 / 198

页数：4

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