Denoising on Simulated SM data 3D Lissajous trajectories
38.3PSNRRDN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RDNnoise level (σ)=0.062025.11 | 38.3 | 98.98 | |
| DnCNNnoise level (σ)=0.062025.11 | 37.23 | 98.76 | |
| RDNnoise level (σ)=0.12025.11 | 35.79 | 98.27 | |
| DnCNNnoise level (σ)=0.12025.11 | 34.52 | 97.8 | |
| RDNnoise level (σ)=0.22025.11 | 32.1 | 96.1 | |
| DnCNNnoise level (σ)=0.22025.11 | 30.49 | 94.7 | |
| RDNnoise level (σ)=0.32025.11 | 29.58 | 93 | |
| DCT-Fnoise level (σ)=0.062025.11 | 28.01 | 91.4 | |
| DnCNNnoise level (σ)=0.32025.11 | 27.83 | 90.6 | |
| DCT-Fnoise level (σ)=0.12025.11 | 25.23 | 84.5 | |
| DCT-Fnoise level (σ)=0.22025.11 | 21.74 | 69.2 | |
| DCT-Fnoise level (σ)=0.32025.11 | 19.77 | 55.8 |