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

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 24 >Page 2410011 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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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DOI: 10.3788/LOP202158.2410011 Cite this Article Set citation alerts

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 Copy Citation Text

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