A Denoising Method of Remote Sensing Images Based on Improved BM3D | |
Chen, Junyu1; Li, Haiwei2; Chen, Tieqiao2; Hu, Bingliang2; Zhang, Geng2; Wang, Shuang2; Liu, Song2 | |
2020-10-20 | |
会议名称 | 4th International Conference on Computer Science and Application Engineering, CSAE 2020 |
会议录名称 | Proceedings of the 4th International Conference on Computer Science and Application Engineering, CSAE 2020 |
会议日期 | 2020-10-20 |
会议地点 | Virtual, Online, China |
出版者 | Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States |
产权排序 | 1 |
摘要 | Denoising of remote sensing images is always one of the hotspots in the field of digital image processing. The quality of denoising determines the precision of subsequent processing directly. The BM3D algorithm takes the high similarity of image neighborhoods into consideration, which shows good stability and accuracy in the field of image denoising. However, in the case of strong noise, BM3D can't match the image-block precisely, which reduces the denoising effect for the remote sensing image. Therefore, in order to solve the problem of BM3D algorithm during the remote sensing image processing, we propose a local block-matching algorithm based on edge search strategy and residual filtering, according to the high similarity at the edge of the remote sensing image. We compare the proposed algorithm with the classic denoising method, and the experimental results show that the proposed algorithm not only protects the information of edge and detail, but also improves the value of PSNR. A better denoising effect was obtained on remote sensing images. © 2020 ACM. |
关键词 | Block-matching Search strategy BM3D Multi-scale detail boosting Edge detection |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1145/3424978.3425125 |
收录类别 | EI |
ISBN号 | 9781450377720 |
语种 | 英语 |
EI入藏号 | 20204509451722 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93781 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.Xi'an Institute of Optics and Precision Mechanics of Cas Xi'an, China and University of Chinese Academy of Sciences, Beijing, China; 2.Xi'an Institute of Optics and Precision Mechanics of Cas, Xi'an, China |
推荐引用方式 GB/T 7714 | Chen, Junyu,Li, Haiwei,Chen, Tieqiao,et al. A Denoising Method of Remote Sensing Images Based on Improved BM3D[C]:Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States,2020. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A Denoising Method o(1729KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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