红外与毫米波学报2024，Vol.43Issue(6)：P.846-857,12.DOI:10.11972/j.issn.1001-9014.2024.06.016
Deep plug-and-play self-supervised neural networks for spectral snapshot compressive imaging
ZHANG Xing-Yu 1ZHU Shou-Zheng 1ZHOU Tian-Shu 1QI Hong-Xing 1WANG Jian-Yu 2LI Chun-Lai 2LIU Shi-Jie1
作者信息
- 1. School of Physics and Optoeletronic Engineering,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China University of Chinese Academy of Sciences,Beijing 100049,China
- 2. School of Physics and Optoeletronic Engineering,Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China University of Chinese Academy of Sciences,Beijing 100049,China
- 折叠
摘要
关键词
compressed sensing/deep learning/self-supervised/coded aperture imaging分类
信息技术与安全科学引用本文复制引用
ZHANG Xing-Yu,ZHU Shou-Zheng,ZHOU Tian-Shu,QI Hong-Xing,WANG Jian-Yu,LI Chun-Lai,LIU Shi-Jie..Deep plug-and-play self-supervised neural networks for spectral snapshot compressive imaging[J].红外与毫米波学报,2024,43(6):P.846-857,12.基金项目
Supported by the Zhejiang Provincial"Jianbing"and"Lingyan"R&D Programs(2023C03012,2024C01126)。 （2023C03012,2024C01126）
