Solder joint image adaptive block compressive sensing with convex optimisation and Gini index

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成果类型：

期刊论文

作者：

Huihuang Zhao*;Yaonan Wang;Jinhua Zheng;Zhijun Qiao;Yun Zhang

通讯作者：

Huihuang Zhao

作者机构：

Department of Computer Science and Technology, College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan, People's Republic of China

Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, People's Republic of China

[Yun Zhang] Institute of Radio and TV Technology, Communication University of Zhejiang, 310018 Hangzhou, People's Republic of China

[Yaonan Wang] Department of Electrical and Engineering, College of Electrical and Information Engineering, Hunan University, Changsha, People's Republic of China

[Zhijun Qiao] School of Mathematical and Statistical Sciences, University of Texas, Rio Grande Valley, TX, USA

通讯机构：

[Huihuang Zhao] D

Department of Computer Science and Technology, College of Computer Science and Technology, Hengyang Normal University, Hengyang, Hunan, People's Republic of China<&wdkj&>Hunan Provincial Key Laboratory of Intelligent Information Processing and Application, Hengyang, People's Republic of China

语种：

英文

关键词：

matrix algebra;iterative methods;data compression;optimisation;gradient methods;surface mount technology;image reconstruction;compressed sensing;solders;image coding;mechanical engineering computing;Ad_BCSGB_Gini method;solder joint image reconstruction performance;comparing Gini index;convex optimisation problem;square blocks;novel adaptive block compressive sensing;solder joint image compression;surface mount technology components;solder joint image adaptive block compressive sensing

期刊：

The Journal of Engineering

ISSN：

2051-3305

年：

2019

卷：

2019

期：

页码：

8923-8926

DOI：

10.1049/joe.2018.9148

基金类别：

National Natural Science Foundation of China#&#&#61503128#&#&#61602402 Natural Science Foundation ofHunan Province#&#&#2017JJ4001

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：

This study aims to improve the performance in solder joint image compression and reconstruction. A novel adaptive block compressive sensing with convex optimisation and Gini index (Ad_BCSGB_Gini) methodology for solder joint image compression and reconstruction is proposed. At first, the image is split into square blocks and each block is resized into a row which consists of a new image. Then, the new image is transformed into a sparse signal by an orthogonal basis matrix, and the image reconstruction is handled as a convex optimisation problem. Moreover, a gradient-based method which has fast...

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Solder joint image adaptive block compressive sensing with convex optimisation and Gini index

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