中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Robust video denoising with sparse and dense noise modelings

文献类型:期刊论文

作者Tang YD(唐延东); Shen GP(沈贵萍); Han Z(韩志); Chen XA(陈希爱)
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2018
卷号61期号:1页码:1-3
ISSN号1674-733X
产权排序1
通讯作者Han Z(韩志)
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
收录类别SCI ; EI ; CSCD
语种英语
CSCD记录号CSCD:6186426
WOS记录号WOS:000416050500004
源URL[http://ir.sia.cn/handle/173321/21251]  
专题沈阳自动化研究所_机器人学研究室
作者单位1.University of Chinese Academy of Sciences, Beijing 100049, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Tang YD,Shen GP,Han Z,et al. Robust video denoising with sparse and dense noise modelings[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(1):1-3.
APA Tang YD,Shen GP,Han Z,&Chen XA.(2018).Robust video denoising with sparse and dense noise modelings.SCIENCE CHINA-INFORMATION SCIENCES,61(1),1-3.
MLA Tang YD,et al."Robust video denoising with sparse and dense noise modelings".SCIENCE CHINA-INFORMATION SCIENCES 61.1(2018):1-3.

入库方式: OAI收割

来源:沈阳自动化研究所

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