Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410017(2021)

Feature Constraint CycleGAN for Single Image Dehazing Algorithm

Dianwei Wang1, Shunli Li1、*, Pengfei Han2, Ying Liu1, Jing Jiang1, and Xincheng Ren3
Author Affiliations
  • 1School of Communications and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi 710121, China
  • 2Center for AI Research and Innovation, Westlake University, Hangzhou, Zhejiang 310024, China
  • 3School of Physics and Electronic Information, Yan'an University, Yan'an, Shaanxi 716000, China
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    Figures & Tables(8)
    MSE scatter plot of H channel in 1492 image pairs
    Structure of overall network. (a) Forward; (b) reverse
    Structure of generate network
    Structure of discriminant network
    Comparison of dehazing results by different algorithms
    Comparison of dehazing performance between CycleGAN algorithm and the proposed algorithm
    • Table 1. Average PSNR/SSIM values for test set

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      Table 1. Average PSNR/SSIM values for test set

      MethodDCPCAPDehazeNetMSCNNCycleGANOurs
      PSNR11.0812.8912.9413.2611.5713.68
      SSIM0.650.660.700.690.550.70
    • Table 2. Average PSNR/SSIM values for Middelbury dataset

      View table

      Table 2. Average PSNR/SSIM values for Middelbury dataset

      MethodDCPCAPDehazeNetMSCNNCycleGANOurs
      PSNR12.0214.1613.5913.5511.3014.32
      SSIM0.690.760.750.730.340.73
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    Dianwei Wang, Shunli Li, Pengfei Han, Ying Liu, Jing Jiang, Xincheng Ren. Feature Constraint CycleGAN for Single Image Dehazing Algorithm[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410017

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    Paper Information

    Category: Image Processing

    Received: Sep. 21, 2020

    Accepted: Nov. 18, 2020

    Published Online: Jun. 30, 2021

    The Author Email: Shunli Li (780953701@qq.com)

    DOI:10.3788/LOP202158.1410017

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