Research Article
Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise
Table 3
Computational results on salt-and-pepper noise plus Gaussian noise removal by solving model (
7).
| Blur | ā | HNW09 | ADM2 | ADM3 | ADMGB |
| Gaussian | 30% | 23/39.08/20.65 | 14/30.72/20.68 | 45/6.53/20.95 | 46/10.08/20.92 | 50% | 29/49.66/20.41 | 15/32.61/20.42 | 50/7.66/20.57 | 51/11.28/20.59 | 70% | 36/61.31/20.09 | 17/36.58/20.10 | 66/9.95/20.12 | 67/13.55/20.13 | 90% | 56/89.73/18.74 | 30/64.38/18.71 | 143/21.48/18.77 | 154/28.22/18.62 |
| Out-of-focus | 30% | 19/32.78/22.66 | 13/27.95/22.30 | 46/6.67/22.59 | 47/10.13/22.48 | 50% | 24/40.27/21.95 | 14/30.08/21.72 | 53/7.91/21.96 | 54/11.20/21.92 | 70% | 35/59.88/20.89 | 17/37.61/20.74 | 85/11.89/20.82 | 94/19.78/20.89 | 90% | 57/97.95/18.43 | 33/71.48/18.57 | 144/21.27/18.58 | 146/30.77/18.42 |
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