中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Blind Deconvolution With Nonlocal Similarity and l(0) Sparsity for Noisy Image

文献类型:期刊论文

作者Ren WH(任卫红); Tian JD(田建东); Tang YD(唐延东)
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2016
卷号23期号:4页码:439-443
关键词Blind image deconvolution low rank l(0) sparsity nonlocal similarity
ISSN号1070-9908
产权排序1
通讯作者任卫红 ; 田建东 ; 唐延东
中文摘要The blind image deconvolution techniques with sparsity prior in gradient domain are sensitive to noise, even a small amount of noise. To address this problem, in this letter, we propose a novel blind deconvolution model that combines low-rank property, nonlocal similarity, and l(0) sparsity prior. Low-rank property makes the proposed deblurring model robust to image noise. The joint utilization of nonlocal similarity and l(0) sparsity prior has improved the accuracy of blur kernel estimation and restores the fine image details. A numerical method is also given to solve the proposed problem. Experimental results on synthetic and real data show that our algorithm performs better against with the state-of-the-art methods for both noise and noise-free images.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]SINGLE IMAGE ; CAMERA
收录类别SCI ; EI
语种英语
WOS记录号WOS:000372401100001
源URL[http://ir.sia.cn/handle/173321/18496]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Ren WH,Tian JD,Tang YD. Blind Deconvolution With Nonlocal Similarity and l(0) Sparsity for Noisy Image[J]. IEEE SIGNAL PROCESSING LETTERS,2016,23(4):439-443.
APA Ren WH,Tian JD,&Tang YD.(2016).Blind Deconvolution With Nonlocal Similarity and l(0) Sparsity for Noisy Image.IEEE SIGNAL PROCESSING LETTERS,23(4),439-443.
MLA Ren WH,et al."Blind Deconvolution With Nonlocal Similarity and l(0) Sparsity for Noisy Image".IEEE SIGNAL PROCESSING LETTERS 23.4(2016):439-443.

入库方式: OAI收割

来源:沈阳自动化研究所

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