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Table 3 Quantitative analysis of obtained results of FPMM and PMM for denoising the test case 3 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) 15.2463 20.950 0.4278 636.1865
FPMM (α = 0.8, K = 90, iteration = 21) 20.7950 25.8404 0.7078 204.7152
PMM (K = 90, iteration = 21) 20.4959 25.4701 0.6501 195.3838
Noisy image (variance 0.03) 10.8789 15.5071 0.2445 1.80e + 03
FPMM (α = 0.8, K = 95, iteration = 37) 19.0699 24.1365 0.5789 303.7352
PMM (K = 95, iteration = 37) 18.7141 23.6894 0.5689 317.1837
Noisy image (variance 0.05) 9.0813 13.5449 0.1748 2.87e + 03
FPMM (α = 0.8, K = 110, iteration = 82) 17.7842 22.8075 0.4986 408.3009
PMM (K = 110, iteration = 82) 14.2662 19.2006 0.3647 734.4369