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Table 1 Comparisons of the results using different models based on different images

From: A convex nonlocal total variation regularization algorithm for multiplicative noise removal

Image σ Nonlocal-AA Nonlocal-SO Our method
PSNR SSIM PSNR SSIM PSNR SSIM
Lena 0.02 28.9757 0.7974 29.6365 0.8355 29.6522 0.8377
0.05 26.3467 0.7530 27.3785 0.7750 27.4042 0.7768
0.1 24.6380 0.6816 25.8112 0.7279 25.8365 0.7310
Woman 0.02 27.9584 0.7741 28.5441 0.8044 28.5547 0.8132
0.05 25.5996 0.7014 26.6301 0.7477 26.6229 0.7436
0.1 24.8337 0.6884 25.0348 0.7002 25.1303 0.7059
Cameraman 0.02 28.4807 0.8027 28.4787 0.7969 28.7461 0.8172
0.05 26.1229 0.7584 26.0631 0.7380 26.3612 0.7693
0.1 24.0989 0.6549 24.3225 0.6911 24.6099 0.7308
Baboon 0.02 25.1895 0.6904 26.2700 0.7380 26.3582 0.7442
0.05 23.9535 0.5718 24.3048 0.6257 24.2040 0.6154
0.1 21.9093 0.4388 23.0813 0.5216 23.1622 0.5324