Illumination and Contrast Balancing for Remote Sensing Images

doi:10.3390/rs6021102

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 高性能计算应用研究中心

	Illumination and Contrast Balancing for Remote Sensing Images
	Liu, Jun 1; Wang, Xing 2; Chen, Min 3; Liu, Shuguang1 ; Shao, Zhenfeng 3; Zhou, Xiran 3; Liu, Ping 4
刊名	REMOTE SENSING
	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
DOI	10.3390/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
出版者	MDPI AG
WOS记录号	WOS:000336092100010
内容类型	期刊论文
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.