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Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network

Long Sun Zhenbing Liu Xiyan Sun Licheng Liu Rushi Lan Xiaonan Luo

自动化学报（英文版）2021，Vol.8Issue(7)：1271-1280,10.

Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network

Long Sun ¹Zhenbing Liu ¹Xiyan Sun ²Licheng Liu ³Rushi Lan ¹Xiaonan Luo²

作者信息

1. Guangxi Key Laboratory of Image and Graphic intelligent processing,Guilin University of Electronic Technology,Guilin 541004,China
2. National Local Joint Engineering Research Center of Satellite Navigation and Location Service,Guilin University of Electronic Technology,Guilin 541004,China
3. College of Electrical and Information Engineering,Hunan University,Changsha 410082,China
折叠

摘要

关键词

Convolutional neural network (CNN)/lightweight framework/multi-scale/super-resolution

Key words

Convolutional neural network (CNN)/lightweight framework/multi-scale/super-resolution

引用本文复制引用

Long Sun,Zhenbing Liu,Xiyan Sun,Licheng Liu,Rushi Lan,Xiaonan Luo..Lightweight Image Super-Resolution via Weighted Multi-Scale Residual Network[J].自动化学报（英文版）,2021,8(7):1271-1280,10.

基金项目

This work was supported in part by the National Natural Science Foundation of China(61772149,61866009,61762028,U1701267,61702169),Guangxi Science and Technology Project(2019GXNSFFA245014,ZY20198016,AD18281079,AD18216004),the Natural Science Foundation of Hunan Province(2020JJ3014),and Guangxi Colleges and Universities Key Laboratory of Intelligent Processing of Computer Images and Graphics(GIIP202001). （61772149,61866009,61762028,U1701267,61702169）

自动化学报（英文版）

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ISSN：2329-9266

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