National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61503128]; Scientific Research Fund of Hunan Provincial Education DepartmentHunan Provincial Education Department [14B025, 13C074]; 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]
机构署名：
本校为第一且通讯机构
院系归属：
计算机科学与技术学院
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. Design/methodology/approach - Unlike traditional CS methods, the authors first transformed a noise solder joint image to a sparse signal by a discrete cosine transform (DCT), so that the reconstruction of noisy solder joint imager...
