A self-adaptive Contrast Enhancement Method Based on Gradient and Intensity Histogram for Remote Sensing Images

被引:0
|
作者
Chen, Tieqiao [1 ,2 ]
Liu, Jiahang [1 ]
Su, Xiuqin [1 ]
Liu, Jia [1 ]
Zhu, Feng [1 ,2 ]
Wang, Yihao [1 ]
机构
[1] Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING, INFORMATION SCIENCE & APPLICATION TECHNOLOGY (ICCIA 2017) | 2017年 / 74卷
关键词
Contrast enhancement; remote sensing image; self-adaptive algorithm; gradient and intensity histogram; EQUALIZATION;
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 proposes an efficient method to modify gradient and intensity histograms (GIH) for contrast enhancement, which plays an important role in remote sensing image processing and information extraction. First, a self-adaptive algorithm is used to flatten the shape of GIH of input image according to standard deviation of GIH. Then, the standard lookup table-based histogram equalization procedure is applied to get well enhanced image. Experimental results, using various remote sensing images, show that the proposed method generates enhanced images with more information and higher visual quality, compared with several conventional methods.
引用
收藏
页码:324 / 328
页数:5
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