您当前的位置：
首页 >
文章列表页 >
Deep Learning Image Super-Resolution Reconstruction： Key Technology Analysis and Frontier Progress
Research Review | 更新时间：2025-02-26
|

    • Deep Learning Image Super-Resolution Reconstruction： Key Technology Analysis and Frontier Progress

    • “New progress has been made in image super-resolution reconstruction technology, providing new solutions for improving image quality and clarity.”
    • Software Guide   Vol. 24, Issue 2, Pages: 211-220(2025)

    • DOI：10.11907/rjdk.241101    

      CLC： TP391

    • Received：18 February 2024，

      Published：28 February 2025

    移动端阅览

  • YU Huichang,LIU Shiyuan.Deep Learning Image Super-Resolution Reconstruction： Key Technology Analysis and Frontier Progress[J].Software Guide,2025,24(02):211-220. DOI： 10.11907/rjdk.241101.

  •  
  •  

0

Views

55

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Feature Fusion-Based Model for Fake Job Advertisement Detection
A Super Resolution Method for Spatiotemporal Feature Fusion Based on Deformable Attention
Adaptive Learning Path Recommendation Supported by Deep Learning——Knowledge Tracing Model Integrating Graph Embedding and Attention Mechanism
Multimodal Psychological Evaluation Algorithm for Power Grid Industry

Related Author

WANG Yongzheng
JI Shujuan
ZHANG Mohua
ZHANG Yuchao
LIU Ji
SUN Xiaoqi
YUAN Yuan
LI Hualiang

Related Institution

School of Computer Science and Engineering， Shandong University of Science and Technology
School of Computer Information and Engineering， Henan University of Economics and Law
School of Educational Science， Nantong University
Electric Power Research Institute, Guangdong Power Grid Co., Ltd
Key Laboratory of Occupational Health and Safety,Guangdong Power Grid Co., Ltd
0