Theory and Modern Applications
 | 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 |