Image Denoising on IRIS Lab database Subject1
0.9SSIMM-SURE
Evaluation Results
| Method | Links | |
|---|---|---|
| M-SUREInputPSNR=22.52016.10 | 0.9 | |
| MNLMInputPSNR=22.52016.10 | 0.88 | |
| BM4DInputPSNR=22.52016.10 | 0.87 | |
| OVNLMInputPSNR=22.52016.10 | 0.86 | |
| TDLInputPSNR=22.52016.10 | 0.85 | |
| M-SUREInputPSNR=192016.10 | 0.85 | |
| MNLMInputPSNR=192016.10 | 0.82 | |
| BM4DInputPSNR=192016.10 | 0.82 | |
| OVNLMInputPSNR=192016.10 | 0.82 | |
| M-SUREInputPSNR=172016.10 | 0.8 | |
| TDLInputPSNR=192016.10 | 0.79 | |
| OVNLMInputPSNR=172016.10 | 0.78 | |
| BM4DInputPSNR=172016.10 | 0.77 | |
| OVNLMInputPSNR=152016.10 | 0.76 | |
| MNLMInputPSNR=172016.10 | 0.75 | |
| MNLMInputPSNR=152016.10 | 0.75 | |
| TDLInputPSNR=172016.10 | 0.74 | |
| M-SUREInputPSNR=152016.10 | 0.73 | |
| BM4DInputPSNR=152016.10 | 0.73 | |
| OVNLMInputPSNR=13.52016.10 | 0.73 | |
| OVNLMInputPSNR=12.52016.10 | 0.7 | |
| MNLMInputPSNR=13.52016.10 | 0.69 | |
| BM4DInputPSNR=13.52016.10 | 0.69 | |
| OVNLMInputPSNR=122016.10 | 0.69 | |
| TDLInputPSNR=152016.10 | 0.68 | |
| M-SUREInputPSNR=13.52016.10 | 0.66 | |
| BM4DInputPSNR=12.52016.10 | 0.66 | |
| TDLInputPSNR=13.52016.10 | 0.65 | |
| OVNLMInputPSNR=112016.10 | 0.65 | |
| MNLMInputPSNR=12.52016.10 | 0.64 | |
| BM4DInputPSNR=122016.10 | 0.64 | |
| OVNLMInputPSNR=10.52016.10 | 0.63 | |
| MNLMInputPSNR=122016.10 | 0.62 | |
| M-SUREInputPSNR=12.52016.10 | 0.61 | |
| TDLInputPSNR=12.52016.10 | 0.61 | |
| BM4DInputPSNR=112016.10 | 0.6 | |
| M-SUREInputPSNR=122016.10 | 0.58 | |
| TDLInputPSNR=122016.10 | 0.58 | |
| BM4DInputPSNR=10.52016.10 | 0.58 | |
| MNLMInputPSNR=112016.10 | 0.56 | |
| TDLInputPSNR=112016.10 | 0.55 | |
| MNLMInputPSNR=10.52016.10 | 0.53 | |
| M-SUREInputPSNR=112016.10 | 0.51 | |
| TDLInputPSNR=10.52016.10 | 0.51 | |
| M-SUREInputPSNR=10.52016.10 | 0.47 |