Gaussian Denoising on KODAK
32.51PSNRN2C
Evaluation results
| Method | Links | ||
|---|---|---|---|
| N2CNoise Level=σε [5, 50], Supervision=Full2021.01 | 32.51 | 87.5 | |
| N2NNoise Level=σε [5, 50], Supervision=Blind2021.01 | 32.5 | 87.5 | |
| N2CNoise Level=σ = 25, Supervision=Full2021.01 | 32.43 | 88.4 | |
| N2NNoise Level=σ = 25, Supervision=Blind2021.01 | 32.41 | 88.4 | |
| Laine19-pmeNoise Level=σ = 25, Post-processing=Posterior Mean Estimation2021.01 | 32.4 | 88.3 | |
| Laine19-pmeNoise Level=σε [5, 50], Post-processing=Posterior Mean Estimation2021.01 | 32.4 | 87 | |
| Noise2NoiseNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 32.2 | — | |
| Supervised LearningNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 32.2 | — | |
| Neighbor2NeighborNoise Level=σε [5, 50]2021.01 | 32.1 | 87 | |
| Neighbor2NeighborNoise Level=σ = 252021.01 | 32.08 | 87.9 | |
| CBM3DNoise Level=σε [5, 50]2021.01 | 32.02 | 86 | |
| Noise2NoiseNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 31.96 | — | |
| Supervised LearningNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 31.96 | — | |
| Noise2ScoreNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 31.89 | — | |
| CBM3DNoise Level=σ = 252021.01 | 31.87 | 86.8 | |
| Noise2ScoreNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 31.78 | — | |
| BM3DNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 31.68 | — | |
| DBSNNoise Level=σ = 252021.01 | 31.64 | 85.6 | |
| Self2SelfNoise Level=σε [5, 50]2021.01 | 31.37 | 86 | |
| Self2SelfNoise Level=σ = 252021.01 | 31.28 | 86.4 | |
| SURENoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.75 | — | |
| Noisier2NoiseNoise Level=σ = 252021.01 | 30.7 | 84.5 | |
| Laine19-muNoise Level=σ = 25, Post-processing=None2021.01 | 30.62 | 84 | |
| Noise2SelfNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.53 | — | |
| Laine19-muNoise Level=σε [5, 50], Post-processing=None2021.01 | 30.52 | 83.3 | |
| N2VNoise Level=σε [5, 50]2021.01 | 30.44 | 80.6 | |
| DBSNNoise Level=σε [5, 50]2021.01 | 30.38 | 82.6 | |
| N2VNoise Level=σ = 252021.01 | 30.32 | 82.1 | |
| Noise2VoidNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.02 | — | |
| Supervised LearningNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 29.1 | — | |
| Noise2NoiseNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 29.07 | — | |
| Noise2ScoreNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 28.83 | — | |
| Supervised LearningNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 28.71 | — | |
| Noise2NoiseNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 28.7 | — | |
| Noise2ScoreNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 28.13 | — | |
| Noise2SelfNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 28.01 | — | |
| DIPNoise Level=σ = 252021.01 | 27.2 | 72 | |
| BM3DNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 27.02 | — | |
| DIPNoise Level=σε [5, 50]2021.01 | 26.97 | 71.3 | |
| SURENoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 26.93 | — | |
| Noise2VoidNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 25.75 | — |