HRTEM Denoising on SFIN Dataset synthetic (test)
38.99PSNRSCGN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SCGNModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 38.99 | 96.34 | |
| SFINModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 38.48 | 95.82 | |
| HINTModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 37.62 | 95.41 | |
| AtomSegNetModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 34.33 | 89.94 | |
| GaussianTraining strategy=Traditional filter, Note=Training datasets correspond to the testing datasets2026.03 | 16.43 | 32.67 |