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A new image denoising method based on wavelet multi-scale registration fusion
Gao L(高亮); Ma Y(马钺); Chen S(陈帅); Wu JH(吴景辉)
Department智能检测与装备研究室
Conference Name2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
Conference DateJuly 13-15, 2018
Conference PlaceShenzhen, China
Author of SourceIEEE
Source Publication2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018
PublisherIEEE
Publication PlaceNew York
2018
Pages55-60
Indexed ByEI ; CPCI(ISTP)
EI Accession number20190806536096
WOS IDWOS:000464883600011
Contribution Rank1
ISBN978-1-5386-6394-3
Keywordimage denoising wavelet transform wavelet multi-scale registration fusion improved wavelet threshold shrink
AbstractImage denoising is an eternal research topic. In this paper, a new image denoising method based on wavelet multiscale registration fusion is proposed to solve the problem that it is easy to lose the edge and texture details of the image in the denoising process. First of all, we can get multiple sets of wavelet coefficients by using different wavelet bases to decompose the same noisy image. Then, the obtained wavelet coefficients are processed by the improved wavelet threshold shrink to get multiple denoising images of the same noisy image. At last, we use the fusion registration algorithm proposed in this paper to fuse the edge feature of multiple denoising images to get the final denoising image. The experiments prove that this method not only can effectively overcome the pseudo gibbs phenomenon caused by the hard threshold method, but also can overcome the image distortion phenomenon caused by the soft threshold method. More importantly, compared with existing methods, this method can effectively preserve the edge detail and texture features of the image and the image has a better visual effect after fusion registration. Therefore, it has a better application value.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/24234
Collection智能检测与装备研究室
Corresponding AuthorGao L(高亮)
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Gao L,Ma Y,Chen S,et al. A new image denoising method based on wavelet multi-scale registration fusion[C]//IEEE. New York:IEEE,2018:55-60.
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