HRTEM Denoising on NUC synthetic (test)
26.55PSNRSCGN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SCGNModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 26.55 | 97.17 | |
| SFINModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 25.7 | 96.73 | |
| HINTModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 23.53 | 94.41 | |
| AtomSegNetModel type=Supervised deep learning, Note=Training datasets correspond to the testing datasets2026.03 | 23.44 | 94.52 | |
| GaussianTraining strategy=Traditional filter, Note=Training datasets correspond to the testing datasets2026.03 | 8.26 | 2.07 |