中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Illumination and Contrast Balancing for Remote Sensing Images

文献类型:期刊论文

作者Liu Jun; Wang Xing; Chen Min; Liu Shuguang; Shao Zhenfeng; Zhou Xiran; Liu Ping
刊名REMOTE SENSING
出版日期2014
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.
收录类别SCI
原文出处http://www.mdpi.com/2072-4292/6/2/1102
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/5959]  
专题深圳先进技术研究院_数字所
作者单位REMOTE SENSING
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.
APA Liu Jun.,Wang Xing.,Chen Min.,Liu Shuguang.,Shao Zhenfeng.,...&Liu Ping.(2014).Illumination and Contrast Balancing for Remote Sensing Images.REMOTE SENSING.
MLA Liu Jun,et al."Illumination and Contrast Balancing for Remote Sensing Images".REMOTE SENSING (2014).

入库方式: OAI收割

来源:深圳先进技术研究院

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