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Table 2 Quantitative analysis of obtained results of FPMM and PMM for denoising the test case 2 with the Gaussian noise

From: A time-splitting local meshfree approach for time-fractional anisotropic diffusion equation: application in image denoising

  SNR PSNR SSIM MSE
Noisy image (variance 0.01) 15.0030 20.4392 0.3417 587.7050
FPMM (α = 0.9, K = 90, iteration = 20) 20.1193 25.7335 0.6025 203.2346
PMM (K = 100, iteration = 20) 17.8155 23.3781 0.5845 190.7179
Noisy image (variance 0.03) 10.6852 15.8952 0.2126 1.67e + 03
FPMM (α = 0.9, K = 110, iteration = 42) 16.8226 22.4020 0.4141 419.4402
PMM (K = 100, iteration = 42) 16.3136 21.8572 0.3919 431.1948
Noisy image (variance 0.05) 8.8399 13.8739 0.1647 2.66e + 03
FPMM (α = 0.9, K = 110, iteration = 70) 14.8705 20.4323 0.3384 654.0687
PMM (K = 110, iteration = 70) 14.4288 19.9599 0.3143 668.8500