Performance evaluation of image enhancement techniques

被引：0

作者：

Puniani, Shruti ^{[1
]}

Arora, Sankalap ^{[1
]}

机构：

[1] Dept. of Computer Science, DAV University, Jalandhar,Punjab, India

来源：

International Journal of Signal Processing, Image Processing and Pattern Recognition | 2015年 / 8卷 / 08期

关键词：

Graphic methods - Computer circuits - Equalizers - Image enhancement - Color;

D O I：

10.14257/ijsip.2015.8.8.27

中图分类号：

学科分类号：

摘要：

Color Image enhancement is a process in which the perceptual information of an image is improved to obtain more information and details contained in the image. It improves the subjective quality of an image by working with original data. This paper focuses on evaluating the performance of various image enhancement techniques. These techniques are either based on histogram modification or are based on fuzzy logic. The techniques are compared using two quantitative measures namely; Contrast Improvement index (CII) and Tenengrad measure. The results have shown that Lab and edge preservation based fuzzy image enhancement (LEFM) yields the best results. © 2015 SERSC.

引用

页码：251 / 262