您当前的位置：
首页 >
文章列表页 >
Enhanced edge feature extraction dual branch fusion network for real image dehazing
Information Sciences | 更新时间：2025-05-28

    • Enhanced edge feature extraction dual branch fusion network for real image dehazing

    • “In the field of computer vision, researchers have proposed a new dehazing network EDFDNet, which effectively improves the visibility of non-uniform haze images and provides a new direction for the development of image dehazing technology.”
    • Optics and Precision Engineering   Vol. 33, Issue 2, Pages: 247-261(2025)

    • DOI：10.37188/OPE.20253302.0247    

      CLC： TP391.41
    • CSTR：32169.14.OPE.20253302.0247    

    • Received：26 August 2024，

      Revised：30 September 2024，

      Published：25 January 2025

    移动端阅览

  • LI Xiongxin,XIA Fengling,ZHANG Kaomin,et al.Enhanced edge feature extraction dual branch fusion network for real image dehazing[J].Optics and Precision Engineering,2025,33(02):247-261. DOI： 10.37188/OPE.20253302.0247. CSTR： 32169.14.OPE.20253302.0247.

  •  
  •  

0

Views

56

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

Enhanced edge feature extraction dual branch fusion network for real image dehazing
Secret key extraction from atmospheric wireless optical channels by combing with generative adversarial network
Lightweight video super-resolution based on hybrid spatio-temporal convolution
Underwater image enhancement synthesizing multi-scale information and attention mechanisms
Infrared image generation with unpaired training samples

Related Author

LI Xiongxin
XIA Fengling
ZHANG Kaomin
WANG Hongliang
XIE Tao
TIAN Zhuozhan
CHEN Chunyi
HU Xiaojuan

Related Institution

Chongqing Research Institute， Changchun University of Science and Technology
School of Computer Science and Technology， Changchun University of Science and Technology
Cheng Laboratory for Information Display and Visualization
Jiangsu Industrial Intelligent and Low-carbon Technology Engineering Center
Display R&D Centre， School of Electronic Science & Engineering， Southeast University
0