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Enhanced edge feature extraction dual branch fusion network for real image dehazing
Information Sciences | 更新时间：2025-03-21
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    • Enhanced edge feature extraction dual branch fusion network for real image dehazing

    • “In the field of computer vision, researchers have proposed the EDFDNet dehazing network, which effectively improves the visibility of non-uniform haze images and provides a new direction for image dehazing research.”
    • 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

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  • 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.

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Related Author

LI Xiongxin
XIA Fengling
ZHANG Kaomin
WANG Hongliang
XIE Tao
XIA Zhenping
CHEN Hao
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Related Institution

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
School of Electronic & Information Engineering， Suzhou University of Science and Technology
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