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Journals >
Laser & Optoelectronics Progress >
Volume 58 >
Issue 4 >
Page 0410013 > Article
Laser & Optoelectronics Progress
Vol. 58, Issue 4, 0410013 (2021)
Image Super-Resolution Reconstruction Method Based on Self-Attention Deep Network
Zihan Chen
1
, Haobo Wu
2、*
, Haodong Pei
3、*
, Rong Chen
1
, Jiaxin Hu
1
, and Hengtong Shi
1
Author Affiliations
1
Futian Power Supply Bureau, Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, China
2
School of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, China
3
Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
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DOI:
10.3788/LOP202158.0410013
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Zihan Chen, Haobo Wu, Haodong Pei, Rong Chen, Jiaxin Hu, Hengtong Shi. Image Super-Resolution Reconstruction Method Based on Self-Attention Deep Network[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410013
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Zihan Chen, Haobo Wu, Haodong Pei, Rong Chen, Jiaxin Hu, Hengtong Shi. Image Super-Resolution Reconstruction Method Based on Self-Attention Deep Network[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410013
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Paper Information
Category: Image Processing
Received: Jun. 30, 2020
Accepted: Aug. 7, 2020
Published Online: Feb. 25, 2021
The Author Email: Wu Haobo (haobow@126.com), Pei Haodong (haobow@126.com)
DOI:
10.3788/LOP202158.0410013
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