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Compressive sensing for noisy solder joint imagery based on convex optimization

文献类型：期刊论文

作者Zhao, Huihuang1; Chen, Jianzhen1; Xu, Shibiao2; Wang, Ying1; Qiao, Zhijun3
刊名SOLDERING & SURFACE MOUNT TECHNOLOGY
出版日期2016-05-10
卷号28期号:2页码:114-122
关键词Noisy Solder Joint Imagery Compressive Sensing (Cs) Convex Optimization Gradient-based Method Orthogonal Matching Pursuit Greedy Basis Pursuit Subspace Pursuit And Compressive Sampling Matching Pursuit Iterative Re-weighted Least Squares
DOI10.1108/SSMT-09-2014-0017
文献子类Article
英文摘要Purpose - The purpose of this paper is to develop a compressive sensing (CS) algorithm for noisy solder joint imagery compression and recovery. A fast gradient-based compressive sensing (FGbCS) approach is proposed based on the convex optimization. The proposed algorithm is able to improve performance in terms of peak signal noise ratio (PSNR) and computational cost.
WOS关键词ORTHOGONAL MATCHING PURSUIT ; INVERSE PROBLEMS ; RECONSTRUCTION ; RECOVERY ; INSPECTION ; TRANSFORM
WOS研究方向Engineering ; Materials Science ; Metallurgy & Metallurgical Engineering
语种英语
WOS记录号WOS:000376207000007
资助机构National Natural Science Foundation of China(61503128) ; Scientific Research Fund of Hunan Provincial Education Department(14B025 ; Science and Technology development project of HengYang(2015KJ28) ; Key Construction Disciplines of the Hunan Province during the Twelfth Five-Year Plan Period ; Open fund project of Hunan Provincial Key Laboratory for Technology and Application of Cultural Heritage Digitalization(JL14K04) ; Open Projects Program of National Laboratory of Pattern Recognition(201407330) ; 13C074)
源URL[http://ir.ia.ac.cn/handle/173211/12224]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位1.HengYang Normal Univ, Dept Comp Sci, Hengyang, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
3.Univ Texas Pan Amer, Dept Math, Edinburg, TX 78541 USA
推荐引用方式
GB/T 7714		 Zhao, Huihuang,Chen, Jianzhen,Xu, Shibiao,et al. Compressive sensing for noisy solder joint imagery based on convex optimization[J]. SOLDERING & SURFACE MOUNT TECHNOLOGY,2016,28(2):114-122.
APA Zhao, Huihuang,Chen, Jianzhen,Xu, Shibiao,Wang, Ying,&Qiao, Zhijun.(2016).Compressive sensing for noisy solder joint imagery based on convex optimization.SOLDERING & SURFACE MOUNT TECHNOLOGY,28(2),114-122.
MLA Zhao, Huihuang,et al."Compressive sensing for noisy solder joint imagery based on convex optimization".SOLDERING & SURFACE MOUNT TECHNOLOGY 28.2(2016):114-122.

入库方式： OAI收割

来源：自动化研究所

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