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Illumination and Contrast Balancing for Remote Sensing Images

文献类型：期刊论文

作者Liu, Jun1; Wang, Xing2; Chen, Min3; Liu, Shuguang1; Shao, Zhenfeng3; Zhou, Xiran3; Liu, Ping4
刊名REMOTE SENSING
出版日期2014-02-01
卷号6期号:2页码:1102-1123
关键词image balancing illumination and contrast balancing light background elimination max-mean-min radiation
ISSN号2072-4292
DOI10.3390/rs6021102
通讯作者Shao, ZF (reprint author), Wuhan Univ, State key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China.
英文摘要Building a mathematical model of uneven illumination and contrast is difficult, even impossible. This paper presents a novel image balancing method for a satellite image. The method adjusts the mean and standard deviation of a neighborhood at each pixel and consists of three steps, namely, elimination of coarse light background, image balancing, and max-mean-min radiation correction. First, the light background is roughly eliminated in the frequency domain. Then, two balancing factors and linear transformation are used to adaptively adjust the local mean and standard deviation of each pixel. The balanced image is obtained by using a color preserving factor after max-mean-min radiation correction. Experimental results from visual and objective aspects based on images with varying unevenness of illumination and contrast indicate that the proposed method can eliminate uneven illumination and contrast more effectively than traditional image enhancement methods, and provide high quality images with better visual performance. In addition, the proposed method not only restores color information, but also retains image details.
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资助项目International Science and Technology Cooperation Program of China[2010DFA92720-24] ; National Natural Science Foundation[41301403] ; National Natural Science Foundation[61172174] ; National Natural Science Foundation[40801165] ; National Natural Science Foundation[10978003] ; Chongqing Basic and Advanced Research General Project[cstc2013jcyjA40010] ; Chongqing Major Programs for Science and Technology Development[CSTC2011GGC40008]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000336092100010
出版者MDPI AG
源URL[http://119.78.100.138/handle/2HOD01W0/1070]  
专题高性能计算应用研究中心
通讯作者Shao, Zhenfeng
作者单位1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China
2.Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China
3.Wuhan Univ, State key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
4.Chinese Acad Sci, Shenzhen Inst Adv Technol, China Lab High Performance Geocomputat, Shenzhen 518055, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Jun,Wang, Xing,Chen, Min,et al. Illumination and Contrast Balancing for Remote Sensing Images[J]. REMOTE SENSING,2014,6(2):1102-1123.
APA Liu, Jun.,Wang, Xing.,Chen, Min.,Liu, Shuguang.,Shao, Zhenfeng.,...&Liu, Ping.(2014).Illumination and Contrast Balancing for Remote Sensing Images.REMOTE SENSING,6(2),1102-1123.
MLA Liu, Jun,et al."Illumination and Contrast Balancing for Remote Sensing Images".REMOTE SENSING 6.2(2014):1102-1123.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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