Research Article

Neural Architectures for Correlated Noise Removal in Image Processing

Table 4


SNR-RMS/new image SNR/new image Mean Peak SNR/new image SSIM/new image

Noisy images versus original images7.1352
7.7979
6.7452
9.0387
6.1524
17.0681
17.8395
16.5800
19.1221
15.7809
26.3356
26.4804
26.2165
26.4122
26.5486
0.5700
0.5693
0.5733
0.6410
0.5513

Cleaned images (using the preprocessing step) versus original images8.4056
9.6450
8.3065
9.5696
7.4780
18.4914
19.6860
18.3883
19.6179
17.4758
27.8057
28.3873
28.0880
26.9517
28.2541
0.6328
0.6411
0.6392
0.6643
0.6308

Cleaned images versus original images (NLMF)12.1067
13.6918
11.9228
14.5670
10.8248
21.6605
22.7292
21.5275
23.2674
20.6884
31.0955
31.5051
31.3547
30.6666
31.6597
0.8474
0.8448
0.8424
0.8588
0.8619

Cleaned images versus original images (ProbShrink)15.6521
15.5453
14.6064
17.5242
13.2653
23.8914
23.8320
23.2909
24.8728
22.1486
33.2490
32.5356
33.0326
32.2178
33.5365
0.8834
0.8648
0.8705
0.8836
0.8812

Cleaned images versus original images (BM3D)14.8333
16.3388
14.7108
17.7965
13.4046
23.4248
24.2644
23.3527
25.0067
22.4632
33.34
33.59
33.68
33.00
33.63
0.8824
0.8854
0.8991
0.8525
0.9074

Cleaned images (using NN’s) versus original images (the proposed method)13.7982
16.9576
16.5712
12.6325
13.4488
22.7964
24.5873
24.3871
22.0298
22.5737
32.2178
33.0786
33.8409
29.6259
33.6427
0.8850
0.8781
0.8968
0.8454
0.8939