JOURNAL ARTICLE

Feedback Multi-scale Residual Dense Network for image super-resolution

Zhengchun LinSiyuan LiYunzhi JiangJing WangQingxing Luo

Year: 2022 Journal:   Signal Processing Image Communication Vol: 107 Pages: 116760-116760   Publisher: Elsevier BV
Keywords:
Fuse (electrical) Residual Computer science Scale (ratio) Artificial intelligence Feature (linguistics) Image (mathematics) Pattern recognition (psychology) Fusion Fusion mechanism Feature extraction Algorithm

Metrics

5
Cited By
0.62
FWCI (Field Weighted Citation Impact)
67
Refs
0.63
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
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Multi-scale feedback residual network for image super-resolution

Yuanlun XieJie OuJiahui ZhongTianxiang JiangTingsong Ma

Journal:   Signal Image and Video Processing Year: 2025 Vol: 19 (8)
JOURNAL ARTICLE

Multi-scale error-driven dense residual network for image super-resolution reconstruction

X LiLei YangShimin LiangJianfang Wu

Journal:   PLoS ONE Year: 2025 Vol: 20 (9)Pages: e0330615-e0330615
BOOK-CHAPTER

Multi-scale Residual Network for Image Super-Resolution

Juncheng LiFaming FangKangfu MeiGuixu Zhang

Lecture notes in computer science Year: 2018 Pages: 527-542
JOURNAL ARTICLE

Learning lightweight Multi-Scale Feedback Residual network for single image super-resolution

Wenjie XuHuihui SongKaihua ZhangQingshan LiuJia Liu

Journal:   Computer Vision and Image Understanding Year: 2020 Vol: 197-198 Pages: 103005-103005
© 2026 ScienceGate Book Chapters — All rights reserved.