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Table 1 Comparisons of peak signal-to-noise ratio(PSNR) values, structural similarity (SSIM) values, and feature similarity (FSIM) values for 15 test images with different super-resolution approaches

From: Group-based single image super-resolution with online dictionary learning

Image   Bi-cubic Yang et al. [20] Glasner et al. [15] ASDS [13] Proposed
Avion PSNR 27.01 29.13 28.48 3 1.6 2 30.92
  SSIM 0.875 0.905 0.918 0.934 0.9 3 6
  FSIM 0.863 0.902 0.907 0.930 0.9 3 6
Barnfall PSNR 29.16 30.14 29.88 3 0.7 6 30.51
  SSIM 0.716 0.780 0.763 0.783 0.7 8 8
  FSIM 0.825 0.895 0.862 0.893 0.8 9 9
Blueeye PSNR 33.39 34.00 35.28 36.37 3 6.7 5
  SSIM 0.923 0.923 0.939 0.939 0.9 4 4
  FSIM 0.946 0.957 0.960 0.962 0.9 6 8
Butterfly PSNR 28.51 30.13 29.85 3 2.2 2 31.51
  SSIM 0.855 0.894 0.902 0.921 0.9 2 6
  FSIM 0.909 0.930 0.935 0.947 0.9 5 0
Cactusflower PSNR 25.48 26.67 26.34 2 7.4 7 26.95
  SSIM 0.658 0.763 0.728 0.749 0.7 6 4
  FSIM 0.793 0.877 0.844 0.863 0.8 8 5
Cameraman PSNR 25.55 26.83 26.68 2 8.6 8 27.94
  SSIM 0.827 0.862 0.869 0.892 0.8 9 9
  FSIM 0.821 0.883 0.864 0.9 0 8 0.901
Colomtn PSNR 27.44 28.33 27.93 2 8.8 0 28.67
  SSIM 0.685 0.747 0.729 0.749 0.7 5 7
  FSIM 0.807 0.877 0.841 0.876 0.8 8 6
Desert PSNR 24.10 24.86 24.89 2 5.5 9 25.41
  SSIM 0.677 0.757 0.737 0.780 0.7 8 6
  FSIM 0.812 0.879 0.852 0.890 0.8 9 6
Frog PSNR 31.42 32.74 32.78 3 4.4 5 34.27
  SSIM 0.895 0.920 0.927 0.937 0.9 4 4
  FSIM 0.894 0.931 0.924 0.945 0.9 5 3
Goldgate PSNR 33.05 34.46 34.05 3 5.4 8 35.10
  SSIM 0.873 0.899 0.907 0.908 0.9 1 2
  FSIM 0.877 0.919 0.909 0.922 0.9 2 5
House PSNR 26.53 28.40 28.14 3 0.3 3 29.61
  SSIM 0.817 0.863 0.865 0.892 0.8 9 4
  FSIM 0.835 0.886 0.888 0.913 0.9 1 9
London PSNR 29.27 31.32 30.34 3 3.2 8 33.13
  SSIM 0.850 0.894 0.894 0.915 0.9 1 9
  FSIM 0.837 0.903 0.877 0.9 1 9 0.918
Lostlake PSNR 27.60 28.81 28.37 2 9.7 1 29.30
  SSIM 0.749 0.806 0.795 0.819 0.8 2 4
  FSIM 0.839 0.896 0.877 0.903 0.9 0 7
Parrot PSNR 28.93 31.21 30.19 3 4.0 5 32.92
  SSIM 0.911 0.926 0.939 0.945 0.9 4 9
  FSIM 0.917 0.948 0.938 0.9 5 9 0.957
Redrock PSNR 27.33 28.51 28.12 2 9.3 5 29.11
  SSIM 0.773 0.834 0.820 0.847 0.8 5 1
  FSIM 0.820 0.889 0.858 0.8 9 4 0.893
  1. The data in italics indicates the best PSNR/SSIM/FSIM result