中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction

文献类型:期刊论文

作者Chen, Yunjin1; Feng, Wensen2,3; Ranftl, Rene1; Qiao, Hong3; Pock, Thomas1,4
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2014-11-01
卷号21期号:11页码:1370-1374
关键词Despeckling fields of experts MRFs non-convex optimization speckle noise
英文摘要The Fields of Experts (FoE) image prior model, a filter-based higher-order Markov Random Fields (MRF) model, has been shown to be effective for many image restoration problems. Motivated by the successes of FoE-based approaches, in this letter we propose a novel variational model for multiplicative noise reduction based on the FoE image prior model. The resulting model corresponds to a non-convex minimization problem, which can be efficiently solved by a recently published non-convex optimization algorithm. Experimental results based on synthetic speckle noise and real synthetic aperture radar (SAR) images suggest that the performance of our proposed method is on par with the best published despeckling algorithm. Besides, our proposed model comes along with an additional advantage, that the inference is extremely efficient. Our GPU based implementation takes less than 1s to produce state-of-the-art despeckling performance.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]DOMAIN ; RESTORATION ; SPECKLE ; IMAGES ; FILTER
收录类别SCI
语种英语
WOS记录号WOS:000345700400005
源URL[http://ir.ia.ac.cn/handle/173211/3025]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位1.Graz Univ Technol, Inst Comp Graph & Vis, A-8010 Graz, Austria
2.Univ Sci & Technol Beijing, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.AIT Austrian Inst Technol GmbH, Safety & Secur Dept, A-1220 Vienna, Austria
推荐引用方式
GB/T 7714
Chen, Yunjin,Feng, Wensen,Ranftl, Rene,et al. A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction[J]. IEEE SIGNAL PROCESSING LETTERS,2014,21(11):1370-1374.
APA Chen, Yunjin,Feng, Wensen,Ranftl, Rene,Qiao, Hong,&Pock, Thomas.(2014).A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction.IEEE SIGNAL PROCESSING LETTERS,21(11),1370-1374.
MLA Chen, Yunjin,et al."A Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction".IEEE SIGNAL PROCESSING LETTERS 21.11(2014):1370-1374.

入库方式: OAI收割

来源:自动化研究所

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