Theory and Modern Applications
 | SNR | PSNR | SSIM | MSE |
---|---|---|---|---|
Noisy image (variance 0.01) | 14.5313 | 20.0380 | 0.2617 | 644.5915 |
FPMM (α = 0.9, K = 100, iteration = 20) | 23.4089 | 29.1101 | 0.7721 | 89.6835 |
PMM (K = 4, iteration = 20) | 22.5107 | 28.1970 | 0.7148 | 100.4876 |
Noisy image (variance 0.05) | 13.2799 | 17.5327 | 0.2599 | 1.1476e + 03 |
FPMM (α = 0.9, K = 100, iteration = 32) | 20.9961 | 26.7036 | 0.5994 | 189.9814 |
PMM (K = 100, iteration = 32) | 20.5716 | 25.8288 | 0.7525 | 169.9014 |
Noisy image (variance 0.09) | 8.5878 | 13.6391 | 0.0980 | 2.81e + 03 |
FPMM (α = 0.9, K = 105, iteration = 50) | 19.4164 | 25.1185 | 0.5634 | 231.1342 |
PMM (K = 100, iteration = 50) | 19.1496 | 24.18522 | 0.5023 | 245.7101 |