CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Compressive sensing for noisy solder joint imagery based on convex optimization
Zhao, Huihuang1; Chen, Jianzhen1; Xu, Shibiao2; Wang, Ying1; Qiao, Zhijun3
Source PublicationSOLDERING & SURFACE MOUNT TECHNOLOGY
2016-05-10
Volume28Issue:2Pages:114-122
SubtypeArticle
AbstractPurpose - 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.
KeywordNoisy 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
WOS HeadingsScience & Technology ; Technology
DOI10.1108/SSMT-09-2014-0017
WOS KeywordORTHOGONAL MATCHING PURSUIT ; INVERSE PROBLEMS ; RECONSTRUCTION ; RECOVERY ; INSPECTION ; TRANSFORM
Indexed BySCI
Language英语
Funding OrganizationNational 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)
WOS Research AreaEngineering ; Materials Science ; Metallurgy & Metallurgical Engineering
WOS SubjectEngineering, Manufacturing ; Engineering, Electrical & Electronic ; Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering
WOS IDWOS:000376207000007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12224
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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.
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