Research Article
A Novel Effective Edge-Based Image Denoising Algorithm
Table 5
Comparison of SSIM for different algorithms (colour).
| Noise level (%) | MF | AMF | NAFSM | IQR | PSMF | BPDF | EBM |
| 5 | 0.983 | 0.940 | 0.998 | 0.993 | 0.995 | 0.998 | 0.999 | 10 | 0.981 | 0.938 | 0.996 | 0.992 | 0.991 | 0.996 | 0.998 | 20 | 0.963 | 0.936 | 0.992 | 0.991 | 0.981 | 0.992 | 0.995 | 30 | 0.908 | 0.935 | 0.988 | 0.987 | 0.966 | 0.987 | 0.992 | 40 | 0.781 | 0.933 | 0.983 | 0.982 | 0.935 | 0.980 | 0.989 | 50 | 0.602 | 0.930 | 0.978 | 0.974 | 0.762 | 0.971 | 0.984 | 60 | 0.412 | 0.926 | 0.973 | 0.966 | 0.421 | 0.957 | 0.978 | 70 | 0.412 | 0.925 | 0.973 | 0.966 | 0.422 | 0.957 | 0.978 | 80 | 0.140 | 0.823 | 0.954 | 0.952 | 0.148 | 0.876 | 0.958 | 90 | 0.058 | 0.471 | 0.908 | 0.939 | 0.062 | 0.658 | 0.934 |
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