Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410001(2022)

Multi-Turbidity Underwater Image Restoration Based on Neural Network and Polarization Imaging

Xinyuan Gui, Ran Zhang, Haoyuan Cheng, Lianbiao Tian, and Jinkui Chu*
Author Affiliations
  • Key Laboratory for Micro/Nano Technology and System of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian , Liaoning 116024, China
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    References(19)

    [3] Chu J K, Zhao K C. Study of angle measurement optoelectronic model on emulating polarization-sensitive compound eye of insect[J]. Micronanoelectronic Technology, 42, 541-545(2005).

    [6] Chu J K, Tian L B, Cheng H Y et al. Simulation of polarization distribution model under wavy water surfaces dominated by skylight[J]. Acta Optica Sinica, 40, 2001002(2020).

    [7] Cai C D, Huo G Y, Zhou Y et al. Underwater image restoration method based on scene depth estimation and white balance[J]. Laser & Optoelectronics Progress, 56, 031008(2019).

    [8] Li J M, Hou G J, Pan Z K et al. Underwater image restoration based on a Laplace operator prior term[J]. Laser & Optoelectronics Progress, 57, 161026(2020).

    [9] Wang J J, Liang L, Li S et al. Correction and implementation of polarization-difference imaging model for underwater target[J]. Acta Optica Sinica, 39, 1111003(2019).

    [18] Pan P W, Yuan F, Cheng E. Underwater image de-scattering and enhancing using dehazenet and HWD[J]. Journal of Marine Science and Technology, 26, 531-540(2018).

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    Xinyuan Gui, Ran Zhang, Haoyuan Cheng, Lianbiao Tian, Jinkui Chu. Multi-Turbidity Underwater Image Restoration Based on Neural Network and Polarization Imaging[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410001

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    Paper Information

    Category: Image Processing

    Received: Dec. 21, 2020

    Accepted: Mar. 15, 2021

    Published Online: Jan. 25, 2022

    The Author Email: Jinkui Chu (chujk@lut.edu.cn)

    DOI:10.3788/LOP202259.0410001

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