Image Super-Resolution Reconstruction Method Based on Self-Attention Deep Network

Zihan Chen; Haobo Wu; Haodong Pei; Rong Chen; Jiaxin Hu; Hengtong Shi

doi:10.3788/LOP202158.0410013

Laser & Optoelectronics Progress, Volume. 58, Issue 4, 0410013(2021)

Image Super-Resolution Reconstruction Method Based on Self-Attention Deep Network

Zihan Chen¹, Haobo Wu^2、*, Haodong Pei^3、*, Rong Chen¹, Jiaxin Hu¹, and Hengtong Shi¹

Author Affiliations

¹Futian Power Supply Bureau, Shenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, China

²School of Electronic Engineering, Xidian University, Xi'an, Shaanxi 710071, China

³Key Laboratory of Intelligent Infrared Perception, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

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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

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology