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	A patch-based low-rank tensor approximation model for multiframe image denoising
	Hao, Ruru; Su, Zhixun
刊名	Journal of Computational and Applied Mathematics
	2018
卷号	329页码:125-133
关键词	Low-rank tensor Augmented Lagrangian alternating Patch-based model Image denoising
ISSN号	03770427
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3274477
专题	大连理工大学
作者单位	School of Mathematical Sciences, Dalian University of Technology, China
推荐引用方式 GB/T 7714	Hao, Ruru,Su, Zhixun. A patch-based low-rank tensor approximation model for multiframe image denoising[J]. Journal of Computational and Applied Mathematics,2018,329:125-133.
APA	Hao, Ruru,&Su, Zhixun.(2018).A patch-based low-rank tensor approximation model for multiframe image denoising.Journal of Computational and Applied Mathematics,329,125-133.
MLA	Hao, Ruru,et al."A patch-based low-rank tensor approximation model for multiframe image denoising".Journal of Computational and Applied Mathematics 329(2018):125-133.

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