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Single-image super-resolution reconstruction via generative adversarial network
Ju, Chunwu1,2; Su, Xiuqin1; Yang, Haoyuan1,2; Ning, Hailong1,2
2019
Conference Name9th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Optoelectronic Materials and Devices for Sensing and Imaging
Source Publication9TH INTERNATIONAL SYMPOSIUM ON ADVANCED OPTICAL MANUFACTURING AND TESTING TECHNOLOGIES: OPTOELECTRONIC MATERIALS AND DEVICES FOR SENSING AND IMAGING
Conference Date2018-06-26
Conference PlaceChengdu, PEOPLES R CHINA
Contribution Rank1
Department光电测量技术实验室
DOI10.1117/12.2505809
Indexed ByEI ; CPCI
ISBN9781510623286
Language英语
ISSN0277786X;1996762X
WOS IDWOS:000465823200018
EI Accession Number20191006603227
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31302
Collection光电测量技术实验室
Affiliation1.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi’an; 710119, China;
2.University of Chinese Academy of Science, Beijing; 101408, China
Recommended Citation
GB/T 7714
Ju, Chunwu,Su, Xiuqin,Yang, Haoyuan,et al. Single-image super-resolution reconstruction via generative adversarial network[C],2019.
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