KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Illumination and Contrast Balancing for Remote Sensing Images | |
Liu, Jun1; Wang, Xing2; Chen, Min3; Liu, Shuguang1 ; Shao, Zhenfeng3 ; Zhou, Xiran3; Liu, Ping4
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| 2014-02-01 | |
| 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. |
| 关键词 | image balancing illumination and contrast balancing light background elimination max-mean-min radiation |
| DOI | 10.3390/rs6021102 |
| URL | 查看原文 |
| 发表期刊 | REMOTE SENSING
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| ISSN | 2072-4292 |
| 卷号 | 6期号:2页码:1102-1123 |
| 通讯作者 | Shao, ZF (reprint author), Wuhan Univ, State key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China. |
| 收录类别 | SCI |
| WOS记录号 | WOS:000336092100010 |
| 语种 | 英语 |
