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Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network

Anumol MATHAI Li MENGDI Stephen LAU Ningqun GUO Xin WANG

光子传感器（英文版）2022，Vol.12Issue(4)：24-35,12.

光子传感器（英文版）2022，Vol.12Issue(4)：24-35,12.DOI:10.1007/s13320-022-0653-x

Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network

Anumol MATHAI ¹Li MENGDI ¹Stephen LAU ²Ningqun GUO ¹Xin WANG¹

作者信息

1. School of Engineering,Monash University Malaysia,Selangor 47500,Malaysia
2. College of Optoelectronic Engineering,Changchun University of Science and Technology,Jilin 130022,China
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摘要

关键词

Transparent object imaging/single-pixel imaging/compressive sensing/total-variation minimization/SRCNN algorithm

Key words

Transparent object imaging/single-pixel imaging/compressive sensing/total-variation minimization/SRCNN algorithm

引用本文复制引用

Anumol MATHAI,Li MENGDI,Stephen LAU,Ningqun GUO,Xin WANG..Transparent Object Reconstruction Based on Compressive Sensing and Super-Resolution Convolutional Neural Network[J].光子传感器（英文版）,2022,12(4):24-35,12.

基金项目

This research was funded by the Ministry of Higher Education,Malaysia(Grant No.Grant FRGS/1/2020/ICT02/MUSM/02/1).Thanks for the support from Monash University Malaysia. （Grant No.Grant FRGS/1/2020/ICT02/MUSM/02/1）

光子传感器（英文版）

OACSCDEISCI

ISSN：1674-9251

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