Gaussian Denoising on Set12
32.92Average PSNRAINDNet
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AINDNetsigma=152020.02 | 32.92 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RIDNetsigma=152020.02 | 32.91 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetsigma=152020.02 | 32.75 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=152020.02 | 32.68 | — | — | — | — | — | — | — | — | — | — | — | — | |
| UNLNetsigma=152020.02 | 32.67 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDsigma=152020.02 | 32.5 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=152020.02 | 32.38 | — | — | — | — | — | — | — | — | — | — | — | — | |
| AINDNetsigma=252020.02 | 30.61 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RIDNetsigma=252020.02 | 30.6 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetsigma=252020.02 | 30.43 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=252020.02 | 30.36 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised LearningNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.36 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2NoiseNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.33 | — | — | — | — | — | — | — | — | — | — | — | — | |
| UNLNetsigma=252020.02 | 30.25 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2ScoreNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 30.13 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2ScoreNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 30.08 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2NoiseNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 30.08 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised LearningNoise Level (sigma)=25, Parameter Knowledge=Unknown2021.06 | 30.08 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDsigma=252020.02 | 30.04 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 29.96 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=252020.02 | 29.95 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Proposed(Primary)Noise Level=sigma = 302016.11 | 29.8976 | 29.6219 | 32.9357 | 30.1054 | 29.0584 | 29.5597 | 28.3288 | 28.677 | 32.0163 | 29.8941 | 29.6107 | 29.4065 | 29.5563 | |
| DnCNN-SNoise Level=sigma = 302016.11 | 29.5105 | 29.2748 | 32.3199 | 29.8497 | 28.397 | 29.3165 | 28.157 | 28.5375 | 31.6104 | 28.8925 | 29.3117 | 29.2492 | 29.2091 | |
| Noise2SelfNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 29.16 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SURENoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 29.13 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level=sigma = 302016.11 | 29.1041 | 28.6376 | 32.1417 | 29.214 | 27.6354 | 28.3458 | 27.4857 | 28.0707 | 31.2388 | 29.7894 | 29.0465 | 28.8016 | 28.8417 | |
| Noise2VoidNoise Level (sigma)=25, Parameter Knowledge=Known2021.06 | 27.56 | — | — | — | — | — | — | — | — | — | — | — | — | |
| AINDNetsigma=502020.02 | 27.51 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RIDNetsigma=502020.02 | 27.43 | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetsigma=502020.02 | 27.32 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=502020.02 | 27.21 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2NoiseNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 27.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised LearningNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 27.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2ScoreNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 27.16 | — | — | — | — | — | — | — | — | — | — | — | — | |
| UNLNetsigma=502020.02 | 27.04 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDsigma=502020.02 | 26.78 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised LearningNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 26.72 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=502020.02 | 26.7 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2ScoreNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 26.65 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2NoiseNoise Level (sigma)=50, Parameter Knowledge=Unknown2021.06 | 26.65 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 26.33 | — | — | — | — | — | — | — | — | — | — | — | — | |
| SURENoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 26.23 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2SelfNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 26.19 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2VoidNoise Level (sigma)=50, Parameter Knowledge=Known2021.06 | 24.68 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Proposed (Primary)Noise Level=sigma = 30, Architecture=Primary2016.11 | 0.8533 | 0.8662 | 0.8589 | 0.8729 | 0.8604 | 0.9116 | 0.8584 | 0.8459 | 0.8669 | 0.8795 | 0.7978 | 0.8022 | 0.8189 | |
| DnCNN-SNoise Level=sigma = 30, Architecture=Primary2016.11 | 0.8428 | 0.858 | 0.8515 | 0.867 | 0.8478 | 0.9032 | 0.8544 | 0.8425 | 0.8559 | 0.8514 | 0.7841 | 0.7949 | 0.8029 | |
| BM3DNoise Level=sigma = 30, Architecture=Primary2016.11 | 0.8318 | 0.8373 | 0.848 | 0.8502 | 0.8282 | 0.8866 | 0.8361 | 0.832 | 0.8456 | 0.8673 | 0.7777 | 0.7783 | 0.7937 |