A review of deep-learning-based super-resolution: From methods to applications
Authors:
- Hu SuHSHu Su
- Ying LiYLYing Li
- Yifan XuYXYifan Xu
- Xiang FuXFXiang Fu
- Song LiuSLSong Liu
Top Cited Papers
- 24 August 2024
- journal article
- review article
- Published by Elsevier in Pattern Recognition
- Vol. 157
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (62303321)
- National Key Research and Development Program of China
- National Key Research and Development Program of China Stem Cell and Translational Research (2021ZD0114505)
This publication has 89 references indexed in Scilit:
- End-to-End Alternating Optimization for Real-World Blind Super ResolutionInternational Journal of Computer Vision, 2023
- Metric Learning Based Interactive Modulation for Real-World Super-Resolution2022
- Video super-resolution based on deep learning: a comprehensive surveyArtificial Intelligence Review, 2022
- Component Divide-and-Conquer for Real-World Image Super-Resolution2020
- Video Enhancement with Task-Oriented FlowInternational Journal of Computer Vision, 2019
- Spatio-Temporal Transformer Network for Video Restoration2018
- Image Super-Resolution Using Very Deep Residual Channel Attention Networks2018
- To Learn Image Super-Resolution, Use a GAN to Learn How to Do Image Degradation First2018
- CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-Scale Warping2018
- On Single Image Scale-Up Using Sparse-Representations2012