Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 10, 1334(2022)

Gradient-aware based single image super-resolution

Le ZHOU1, Long XU2, Xiao-yan LIU3, Xin-ze ZHANG2, and Xuan-de ZHANG1、*
Author Affiliations
  • 1School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi’an 710021,China
  • 2National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China
  • 3College of Science,Xi’an Shiyou University,Xi’an 710065,China
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    Figures & Tables(7)
    Overall framework of GASR
    Residual gradient aware block structure
    Results compared visually with perceptual-driven SR methods(×4)
    Comparison of experimental results on real images(×4)
    • Table 1. Evaluation index of ablation experiment(Set14×4)

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      Table 1. Evaluation index of ablation experiment(Set14×4)

      Model nameGrad-branchNon-concatInterim-convResult
      RCAN_sub×××LPIPS:0.133 2
      PSNR:26.815
      Model_1××LPIPS:0.132 0
      PSNR:26.822
      Model_2×LPIPS:0.133 4
      PSNR:26.844
      GASRLPIPS:0.129 6(↓)
      PSNR:26.857(↑)
    • Table 2. Results compared with advanced perception-driven SR method(×4)

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      Table 2. Results compared with advanced perception-driven SR method(×4)

      DatasetMetricBicubicSFTGANSRGANESRGANSPSRGASR(Ours)
      #Params.1.8M0.7M16.7M24.8M4.3M
      FLOPs0.8G7.0G89.7G265.1G26.6G
      Set5PI7.369 93.758 73.982 03.752 23.274 33.636 4
      LPIPS0.340 70.089 00.088 20.074 80.064 40.070 2
      PSNR28.42029.93229.16830.45430.40030.517
      SSIM0.824 50.866 50.861 30.867 70.862 70.872 0
      Set14PI7.026 82.906 33.085 12.926 12.903 63.027 2
      LPIPS0.439 30.148 10.166 30.132 90.131 80.129 6
      PSNR26.10026.22326.17126.27626.64026.857
      SSIM0.785 00.785 40.784 10.778 30.793 00.798 1
      BSD100PI7.002 62.377 42.545 92.479 32.351 02.427 3
      LPIPS0.524 90.176 90.198 00.161 40.161 10.161 6
      PSNR25.96125.50525.45925.31725.50525.698
      SSIM0.667 50.654 90.648 50.650 60.657 60.664 2
      General100PI7.936 54.287 84.375 74.323 44.099 14.250 7
      LPIPS0.352 80.103 00.105 50.087 90.086 30.085 1
      PSNR28.01829.02628.57529.41229.41429.744
      SSIM0.828 20.850 80.854 10.854 60.853 70.861 4
    • Table 3. Comparison results on RealSR datasets(×4)

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      Table 3. Comparison results on RealSR datasets(×4)

      MethodLPIPSPIPSNRSSIM
      Bibubic0.485 38.189 027.5070.865 9
      ESRGAN0.428 87.597 527.7990.874 4
      USRGAN0.422 67.592 827.8670.877 6
      GASR(Ours)0.417 97.503 727.8050.876 4
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    Le ZHOU, Long XU, Xiao-yan LIU, Xin-ze ZHANG, Xuan-de ZHANG. Gradient-aware based single image super-resolution[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(10): 1334

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    Paper Information

    Category: Research Articles

    Received: Mar. 11, 2022

    Accepted: --

    Published Online: Oct. 10, 2022

    The Author Email: Xuan-de ZHANG (zhangxuande@sust.edu.cn)

    DOI:10.37188/CJLCD.2022-0083

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