您当前的位置：
首页 >
文章列表页 >
Noise-resistant multistep image super resolution network
更新时间：2025-05-26

    • Noise-resistant multistep image super resolution network

    • “The latest research has broken through the problem of image super-resolution and proposed an anti noise step-by-step reconstruction algorithm, effectively improving image quality.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 7, Pages: 2063-2071(2024)
    • 作者机构：

      长春工业大学 计算机科学与工程学院，长春 130012

    • DOI：10.13229/j.cnki.jdxbgxb.20221251    

      CLC： TP391

    • Received：27 September 2022，

      Published：01 July 2024

    移动端阅览

  • GUO Xin-gang,HE Ying-chen,CHENG Chao.Noise-resistant multistep image super resolution network[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(07):2063-2071. DOI： 10.13229/j.cnki.jdxbgxb.20221251.

  •  
  •  

0

Views

12

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

Visual recognition of excavator keypoints based on synthetic image datasets
Semantic similarity model based on augmented positives and interlayer negatives
Review of multi-object tracking based on deep learning
Lightweight frequency and spatial feature fused multi-scale remote sensing scene classification network
Brain tissue segmentation method combining multi-scale and attention mechanisms

Related Author

YAO Zong-wei
CHEN Chen
GAO Zhen-yun
JIN Hong-peng
RONG Hao
LI Xue-fei
HUANG Hong-pu
BI Qiu-shi

Related Institution

School of Mechanical and Aerospace Engineering， Jilin University
Liuzhou Liugong Excavator Co.， Ltd.
School of Information and Communication， Guilin University of Electronic Technology
School of Safety Science and Engineering， Civil Aviation University of China
School of Computer Science and Technology， Civil Aviation University of China
0