Research Article
A Novel Effective Edge-Based Image Denoising Algorithm
Table 2
Comparison of SSIM of different denoising algorithms (grey level).
| Noise level (%) | MF | AMF | NAFSM | IQR | PSMF | BPDF | EBM |
| 5 | 0.895 | 0.612 | 0.954 | 0.919 | 0.953 | 0.979 | 0.971 | 10 | 0.882 | 0.610 | 0.939 | 0.910 | 0.936 | 0.965 | 0.964 | 20 | 0.828 | 0.608 | 0.904 | 0.884 | 0.893 | 0.934 | 0.947 | 30 | 0.715 | 0.605 | 0.875 | 0.846 | 0.836 | 0.896 | 0.925 | 40 | 0.514 | 0.595 | 0.844 | 0.786 | 0.742 | 0.842 | 0.897 | 50 | 0.331 | 0.585 | 0.809 | 0.727 | 0.600 | 0.785 | 0.861 | 60 | 0.195 | 0.568 | 0.772 | 0.679 | 0.203 | 0.686 | 0.815 | 70 | 0.117 | 0.545 | 0.725 | 0.638 | 0.121 | 0.570 | 0.771 | 80 | 0.058 | 0.413 | 0.656 | 0.593 | 0.060 | 0.350 | 0.696 | 90 | 0.029 | 0.196 | 0.526 | 0.532 | 0.029 | 0.184 | 0.583 |
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