JOURNAL ARTICLE

Lightweight single image super-resolution with attentive residual refinement network

Jinghui QinRumin Zhang

Year: 2022 Journal:   Neurocomputing Vol: 500 Pages: 846-855   Publisher: Elsevier BV
Keywords:
Residual Computer science Convolutional neural network Upsampling Artificial intelligence Pattern recognition (psychology) Deep learning Block (permutation group theory) Feature (linguistics) Image (mathematics) Algorithm Mathematics

Metrics

20
Cited By
2.48
FWCI (Field Weighted Citation Impact)
39
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

Related Documents

JOURNAL ARTICLE

Lightweight blueprint residual network for single image super-resolution

Fangwei HaoJiesheng WuWeiyun LiangJing XuPing Li

Journal:   Expert Systems with Applications Year: 2024 Vol: 250 Pages: 123954-123954
JOURNAL ARTICLE

Lightweight Image Super-Resolution with ConvNeXt Residual Network

Yong ZhangHaomou BaiYaxing BingXiao Liang

Journal:   Neural Processing Letters Year: 2023 Vol: 55 (7)Pages: 9545-9561
JOURNAL ARTICLE

Lightweight Dual-Stream Residual Network for Single Image Super-Resolution

Yichun JiangYunqing LiuWeida ZhanDepeng Zhu

Journal:   IEEE Access Year: 2021 Vol: 9 Pages: 129890-129901
© 2026 ScienceGate Book Chapters — All rights reserved.