OPT OpenIR  > 光谱成像技术研究室
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
Conference Name4th International Conference on Computer Science and Application Engineering, CSAE 2020
Source PublicationProceedings of the 4th International Conference on Computer Science and Application Engineering, CSAE 2020
Conference Date2020-10-20
Conference PlaceVirtual, Online, China
PublisherAssociation for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States
Contribution Rank1
Abstract

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.

KeywordBlock-matching Search strategy BM3D Multi-scale detail boosting Edge detection
Department光谱成像技术研究室
DOI10.1145/3424978.3425125
Indexed ByEI
ISBN9781450377720
Language英语
EI Accession Number20204509451722
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/93781
Collection光谱成像技术研究室
Affiliation1.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
Recommended Citation
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.
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