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Robust video denoising with sparse and dense noise modelings
Shen GP(沈贵萍); Han Z(韩志); Chen XA(陈希爱); Tang YD(唐延东)
Department机器人学研究室
Source PublicationSCIENCE CHINA-INFORMATION SCIENCES
ISSN1674-733X
2018
Volume61Issue:1Pages:1-3
Indexed BySCI ; EI ; CSCD
EI Accession number20174804474079
WOS IDWOS:000416050500004
CSCD IDCSCD:6186426
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China ; Youth Innovation Promotion Association CAS
Language英语
WOS SubjectComputer Science, Information Systems
WOS Research AreaComputer Science
Funding ProjectNational Natural Science Foundation of China[61303168] ; Youth Innovation Promotion Association CAS
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/21251
Collection机器人学研究室
Corresponding AuthorHan Z(韩志)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
GB/T 7714
Shen GP,Han Z,Chen XA,et al. Robust video denoising with sparse and dense noise modelings[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(1):1-3.
APA Shen GP,Han Z,Chen XA,&Tang YD.(2018).Robust video denoising with sparse and dense noise modelings.SCIENCE CHINA-INFORMATION SCIENCES,61(1),1-3.
MLA Shen GP,et al."Robust video denoising with sparse and dense noise modelings".SCIENCE CHINA-INFORMATION SCIENCES 61.1(2018):1-3.
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