Compressive sensing for noisy solder joint imagery based on convex optimization

doi:10.1108/SSMT-09-2014-0017

CORC > 自动化研究所 > 中国科学院自动化研究所 > 模式识别国家重点实验室 > 多媒体计算与图形学团队

	Compressive sensing for noisy solder joint imagery based on convex optimization
	Zhao, Huihuang 1; Chen, Jianzhen 1; Xu, Shibiao2 ; Wang, Ying 1; Qiao, Zhijun 3
刊名	SOLDERING & SURFACE MOUNT TECHNOLOGY
	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
DOI	10.1108/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)
内容类型	期刊论文
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.