Table 2: Comparison of different denoising methods on PSNR and SSIM for images.

Denoising methodLenaBarbaraBoat

Noisy image28.1822.1518.6728.1222.1218.6628.1422.1618.62
0.56460.33980.23330.70360.49450.36730.60720.39920.2888
Article [23]34.5331.5629.8832.8128.6826.7932.9329.7527.68
0.88940.82820.76830.88460.83180.76320.84980.77460.7226
Article [24]34.2731.0728.9631.9628.1626.1132.3729.1127.31
0.87980.81750.76180.85030.79380.73230.83240.77630.7105
Article [25]33.3729.6327.3532.7628.2926.5732.0328.0226.29
0.88780.80130.78560.89960.84890.78110.87680.78630.6802
Article [26]34.9831.7329.6233.0129.1827.0133.1129.7727.74
0.90350.84940.80660.91610.85280.78370.85730.79530.7106
Article [27]33.9830.8628.6831.7627.3726.3132.5829.3227.72
0.84690.74840.65860.86780.77230.74260.83020.75630.6752
Article [28]34.8131.2830.0331.6229.0226.8132.6629.1828.12
0.89900.85450.82030.90740.83310.77800.83870.76190.7129
The new method35.2131.7630.0833.0229.1927.2133.4830.1828.34
0.90700.85580.82120.92180.85320.79210.87880.79760.7408