Table 4.
Evaluation results of metrics for different models of denoising.
| Model name | PSNR | SSIM | UV (%) |
|---|---|---|---|
| BM3D | 11.2175 | 0.5487 | 52 |
| DNCNN | 9.4680 | 0.3605 | 36 |
| CycleGAN | 16.8095 | 0.8282 | 69 |
| ID-CGAN | 17.7276 | 0.8163 | 72 |
| Ours | 21.9484 | 0.9227 | 86 |
Evaluation results of metrics for different models of denoising.
| Model name | PSNR | SSIM | UV (%) |
|---|---|---|---|
| BM3D | 11.2175 | 0.5487 | 52 |
| DNCNN | 9.4680 | 0.3605 | 36 |
| CycleGAN | 16.8095 | 0.8282 | 69 |
| ID-CGAN | 17.7276 | 0.8163 | 72 |
| Ours | 21.9484 | 0.9227 | 86 |