Laser & Optoelectronics Progress, Volume. 61, Issue 18, 1837007(2024)

Two-Branch Feature Fusion Image Dehazing Algorithm Under Brightness Constraint

Jinqing He1, Xiucheng Dong1,2、*, Xianming Xiang1, Hongda Guo1, and Yaling Ju1
Author Affiliations
  • 1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, Sichuan, China
  • 2School of Electrical and Electronic Information Engineering, Jinjiang College Sichuan University, Meishan 620860, Sichuan, China
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    References(34)

    [1] Wu X P, Gao Q Q, Huang S W et al. Adaptive retinex image defogging algorithm based on depth-of-field information[J]. Laser & Optoelectronics Progress, 60, 1210013(2023).

    [12] Ji H, Hu L L, Han Z C. Hazy image dehazing algorithm based on two branch residual feature fusion[J]. Journal of Computer-Aided Design & Computer Graphics, 35, 320-328(2023).

    [30] Ancuti C O, Ancuti C, Vasluanu F A et al. NTIRE 2021 nonhomogeneous dehazing challenge report[C], 627-646(2021).

    [31] Ancuti C O, Ancuti C, Vasluianu F A et al. NTIRE 2023 HR NonHomogeneous dehazing challenge report[C], 1808-1825(2023).

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    Jinqing He, Xiucheng Dong, Xianming Xiang, Hongda Guo, Yaling Ju. Two-Branch Feature Fusion Image Dehazing Algorithm Under Brightness Constraint[J]. Laser & Optoelectronics Progress, 2024, 61(18): 1837007

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    Paper Information

    Category: Digital Image Processing

    Received: Jan. 2, 2024

    Accepted: Feb. 5, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Xiucheng Dong (dxc136@163.com)

    DOI:10.3788/LOP240436

    CSTR:32186.14.LOP240436

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