Research Article
A LogTVSCAD Nonconvex Regularization Model for Image Deblurring in the Presence of Impulse Noise
Table 1
Performance comparison of different methods for SP and RV.
| Image | Level | Method | Motion | Average | Gaussian | CPU | SNR | SSIM | CPU | SNR | SSIM | CPU | SNR | SSIM |
| House | 0.6 (SP) | TVL1 | 5.1875 | 9.3729 | 0.7272 | 4.9688 | 10.8485 | 0.7484 | 5.4845 | 5.3156 | 0.6282 | TVSCAD | 46.8756 | 15.9418 | 0.8442 | 47.1563 | 16.7165 | 0.8489 | 51.8125 | 16.6146 | 0.8465 | TVLog | 47.0468 | 15.9401 | 0.8443 | 46.7344 | 16.6897 | 0.8487 | 43.4843 | 16.5666 | 0.8451 | LogTVSCAD | 46.2187 | 15.9501 | 0.8443 | 46.5625 | 16.7233 | 0.8490 | 48.1562 | 16.6208 | 0.8466 |
| House | 0.9 (SP) | TVL1 | 5.2344 | 3.1335 | 0.6315 | 5.2031 | 5.2470 | 0.6346 | 5.4845 | 5.3156 | 0.6282 | TVSCAD | 47.6563 | 10.8527 | 0.7644 | 46.1406 | 13.2556 | 0.7943 | 48.9375 | 13.360 | 0.7935 | TVLog | 46.9375 | 9.9173 | 0.7551 | 45.2187 | 11.3900 | 0.7709 | 45.9063 | 10.6551 | 0.7661 | LogTVSCAD | 47.3437 | 11.7085 | 0.7655 | 44.7812 | 13.4710 | 0.7972 | 44.6406 | 13.5232 | 0.7958 |
| House | 0.7 (RV) | TVL1 | 5.2969 | 6.7084 | 0.6603 | 5.6406 | 6.9738 | 0.6760 | 5.1093 | 7.2092 | 0.6770 | TVSCAD | 51.906 | 11.4798 | 0.7671 | 50.3906 | 13.0353 | 0.7946 | 44.0625 | 13.2004 | 0.8120 | TVLog | 49.75 | 12.2186 | 0.7971 | 50.8593 | 14.2516 | 0.8192 | 44.0469 | 13.2004 | 0.8232 | LogTVSCAD | 50.2188 | 13.4190 | 0.8026 | 51.0937 | 14.8019 | 0.8210 | 44.3906 | 15.3713 | 0.8287 |
| Peppers | 0.9 (SP) | TVL1 | 30.3750 | 6.9405 | 0.6093 | 31.5937 | 5.5903 | 0.6282 | 30.6093 | 6.6347 | 0.6255 | TVSCAD | 146.6250 | 12.8617 | 0.7461 | 146.1719 | 11.2206 | 0.7616 | 148.3593 | 12.3083 | 0.7656 | TVLog | 145.5781 | 13.0023 | 0.7621 | 146.8437 | 12.4857 | 0.7755 | 148.0625 | 12.2156 | 0.7723 | LogTVSCAD | 147.9843 | 13.2269 | 0.7674 | 148.5468 | 12.9662 | 0.7756 | 148.9062 | 12.7609 | 0.7746 |
| Peppers | 0.7 (RV) | TVL1 | 29.9843 | 6.6032 | 0.6290 | 30.0312 | 6.6501 | 0.6433 | 30.4218 | 6.6491 | 0.6453 | TVSCAD | 284.875 | 13.4355 | 0.7837 | 285.7343 | 13.4512 | 0.7904 | 286.5781 | 13.5209 | 0.7924 | TVLog | 297.7812 | 13.6295 | 0.8039 | 304.6406 | 13.8962 | 0.7925 | 288.9062 | 13.8775 | 0.7921 | LogTVSCAD | 286.3437 | 14.3542 | 0.8043 | 290.0937 | 15.1048 | 0.8130 | 287.875 | 15.4038 | 0.8136 |
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The bold values indicate that the SNR and SSIM results obtained by LogTVSCAD are better than the other three methods.
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