Improved multi-scale Retinex image enhancement of under poor illumination

被引：0

作者：

Shao, Zhenfeng ^{[1
]}

Bai, Yun ^{[2
]}

Zhou, Xiran ^{[1
]}

机构：

[1] State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan

[2] Leador Spatial Information Technology Corporation, Wuhan

来源：

Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2015年 / 40卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Image enhancement; Multi-scale Retinex; Poor illumination; Quality evaluation; Retinex;

D O I：

10.13203/j.whugis20130142

中图分类号：

学科分类号：

摘要：

Severe atmosphere, optic, and other negative effects will result in low brightness and contrast problem and there makes remote sensing image into low quality. In this paper, two kinds of algorithms based on human eye feature are analyzed with their advantages and limits. A novel optimized Retinex approach is proposed. It fuses Retinex theory and image enhancement algorithm that strengthens brightness and contrast via a color space transform. Brightness and contrast are shifted with additional image edge features while holding image hue being constant. The results from image enhancement can be more comfortable for human eye features, provide significant improvement in brightness and contrast, delivers richer image information, and avoids cross color phenomenon. The experimental data resource was a low-light-level image processed to illustrate the efficiency of our method via fineness, the hue bias exponent, entropy, and several other indexes. ©, 2015, Wuhan University. All right reserved.

引用

页码：32 / 39

页数：7

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