Research Article
Variable Splitting Based Method for Image Restoration with Impulse Plus Gaussian Noise
Table 2
Computational results on Gaussian noise removal by solving model (
4).
| Blur | ā | Algorithm | Shape | Cameraman | Barbara |
| Uniform | 0.005 | HNW08 | 62/1.94/23.91 | 61/7.33/21.77 | 51/31.63/18.23 | ADM2 | 24/0.75/24.00 | 26/3.59/21.68 | 26/17.38/18.19 | 0.01 | HNW08 | 53/1.67/20.87 | 51/6.72/19.91 | 52/32.61/17.70 | ADM2 | 30/0.92/21.69 | 29/4.05/20.12 | 31/20.41/17.68 |
| Gaussian | 0.005 | HNW08 | 82/2.56/20.89 | 80/9.70/20.28 | 58/31.22/18.02 | ADM2 | 35/1.05/21.22 | 34/4.70/20.39 | 30/19.88/18.01 | 0.01 | HNW08 | 58/1.80/17.93 | 54/6.48/19.53 | 57/35.38/17.64 | ADM2 | 35/1.08/19.12 | 36/4.92/19.74 | 34/22.55/17.61 |
| Out-of-focus | 0.005 | HNW08 | 58/1.83/23.37 | 66/7.91/20.43 | 61/32.91/18.03 | ADM2 | 20/0.77/23.43 | 29/3.98/20.43 | 33/22.11/18.01 | 0.01 | HNW08 | 48/1.23/19.34 | 55/6.59/18.81 | 57/31.56/17.39 | ADM2 | 23/0.80/20.38 | 34/4.61/19.09 | 34/22.25/17.46 |
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