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

Uniform0.005HNW0862/1.94/23.9161/7.33/21.7751/31.63/18.23
ADM224/0.75/24.0026/3.59/21.6826/17.38/18.19
0.01HNW0853/1.67/20.8751/6.72/19.9152/32.61/17.70
ADM230/0.92/21.6929/4.05/20.1231/20.41/17.68

Gaussian0.005HNW0882/2.56/20.8980/9.70/20.2858/31.22/18.02
ADM235/1.05/21.2234/4.70/20.3930/19.88/18.01
0.01HNW0858/1.80/17.9354/6.48/19.5357/35.38/17.64
ADM235/1.08/19.1236/4.92/19.7434/22.55/17.61

Out-of-focus0.005HNW0858/1.83/23.3766/7.91/20.4361/32.91/18.03
ADM220/0.77/23.4329/3.98/20.4333/22.11/18.01
0.01HNW0848/1.23/19.3455/6.59/18.8157/31.56/17.39
ADM223/0.80/20.3834/4.61/19.0934/22.25/17.46