A patch-based low-rank tensor approximation model for multiframe image denoising | |
Hao, Ruru; Su, Zhixun | |
刊名 | Journal of Computational and Applied Mathematics
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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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