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    • Image dehazing network based on dual-domain feature fusion

    • In the field of image dehazing, researchers have proposed the dual domain feature fusion network DFFNet, which effectively solves the problem of feature fusion and achieves excellent dehazing results.
    • Vol. 30, Issue 11, Pages: 3665-3679(2025)   

      Received:06 November 2024

      Revised:2025-04-01

      Accepted:08 April 2025

      Published:16 November 2025

    • DOI: 10.11834/jig.240655     

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  • Wang W J, Chen F, Liu W L, Cheng H and Wang M Q. 2025. Image dehazing network based on dual-domain feature fusion. Journal of Image and Graphics, 30(11):3665-3679 DOI: 10.11834/jig.240655.
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相关作者

Ying Li 厦门大学信息学院
Qingfeng Wu 厦门大学信息学院
Jiatong Liu 厦门大学信息学院
Jialong Zou 厦门大学信息学院
Shen Tianshu 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Chi Jing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Wang Yanbing 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室
Lei Yanlei 山东财经大学计算机与人工智能学院;山东省数字经济轻量智算与可视化重点实验室

相关机构

School of Informatics, Xiamen University
School of Computer and Artificial Intelligence, Shandong University of Finance and Economics, Ji’nan
Shandong Key Laboratory of Lightweight Intelligent Computing and Visualization for Digital Economy, Ji’nan
School of Astronautics, Beihang University
School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
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