Image Super-Resolution Reconstruction Based on Multi-Scale Residual Aggregation Feature Network

Lifeng He; Liangliang Su; Guangbin Zhou; Pu Yuan; Bofan Lu; Jiajia Yu

doi:10.3788/LOP202158.2410011

Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2410011(2021)

Image Super-Resolution Reconstruction Based on Multi-Scale Residual Aggregation Feature Network

Lifeng He^1,2, Liangliang Su^1、*, Guangbin Zhou¹, Pu Yuan¹, Bofan Lu¹, and Jiajia Yu¹

¹School of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an, Shaanxi 710021, China;

²School of Information Science and Technology, Aichi Prefectural University, Nagakute, Aichi 480- 1198, Japan

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Lifeng He, Liangliang Su, Guangbin Zhou, Pu Yuan, Bofan Lu, Jiajia Yu. Image Super-Resolution Reconstruction Based on Multi-Scale Residual Aggregation Feature Network[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410011

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Paper Information

Category: Image Processing

Received: Apr. 7, 2021

Accepted: May. 18, 2021

Published Online: Nov. 29, 2021

The Author Email: Liangliang Su (1211516382@qq.com)

DOI:10.3788/LOP202158.2410011

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology