Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0237002(2025)

Multiplexed Fusion Deep Aggregate Learning for Underwater Image Enhancement

Yan Chen1、*, Ao Xiao1, Yun Li2, Xiaochun Hu2, and Peiguang Jing3
Author Affiliations
  • 1School of Computer, Electronics and Information, Guangxi University, Nanning 530004, Guangxi , China
  • 2School of Big Data and Artificial Intelligence, Guangxi University of Finance and Economics, Nanning 530003, Guangxi , China
  • 3School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • show less
    References(30)

    [15] Ou Y, Huang J F, Yuan R. Underwater image enhancement model based on deep multi-prior learning[J]. Laser & Optoelectronics Progress, 61, 2237005(2024).

    [19] Liu X, Lin S, Tao Z Y. Enhancement of underwater images via global feature dual attention fusion generative adversarial network[J]. Electronics Optics & Control, 29, 43-48(2022).

    [22] Pizer S M, Johnston R E, Ericksen J P et al. Contrast-limited adaptive histogram equalization: speed and effectiveness[C], 337-345(1990).

    Tools

    Get Citation

    Copy Citation Text

    Yan Chen, Ao Xiao, Yun Li, Xiaochun Hu, Peiguang Jing. Multiplexed Fusion Deep Aggregate Learning for Underwater Image Enhancement[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0237002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Digital Image Processing

    Received: Apr. 7, 2024

    Accepted: Apr. 30, 2024

    Published Online: Dec. 17, 2024

    The Author Email:

    DOI:10.3788/LOP241036

    CSTR:32186.14.LOP241036

    Topics