Research Article
A LogTVSCAD Nonconvex Regularization Model for Image Deblurring in the Presence of Impulse Noise
Table 2
Performance comparison of L0TV and LogTVSACD methods.
| Image | Level | Method | Motion | Average | Gaussian | PSNR | SNR | SSIM | PSNR | SNR | SSIM | PSNR | SNR | SSIM |
| Satellite | 0.6(SP) | L0TV | 24.4391 | 13.2826 | 0.8625 | 24.4398 | 13.2835 | 0.8653 | 24.4000 | 13.2435 | 0.8648 | LogTVSCAD | 25.7365 | 14.5800 | 0.9063 | 25.5614 | 14.4049 | 0.8987 | 25.4307 | 14.2742 | 0.8951 |
| Macaws | 0.9(SP) | L0TV | 26.4027 | 9.7899 | 0.7066 | 27.0230 | 10.4192 | 0.7155 | 27.0000 | 10.3962 | 0.7157 | LogTVSCAD | 27.5733 | 10.9695 | 0.7348 | 27.6667 | 11.0629 | 0.7324 | 27.4857 | 10.8829 | 0.7310 |
| Boat | 0.3(RV) | L0TV | 30.3035 | 15.5168 | 0.8190 | 31.4866 | 16.6999 | 0.8408 | 31.4702 | 16.6834 | 0.8408 | LogTVSCAD | 33.7020 | 18.9152 | 0.8965 | 34.3836 | 19.5969 | 0.8996 | 34.3214 | 19.5347 | 0.8984 |
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