Image Denoising on Set12 (test)
36.96PSNRWIN5-RB-S
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WIN5-RB-Ssigma=302017.07 | 36.96 | 94.95 | 14.76 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-RB-Bsigma=302017.07 | 35.83 | 94.6 | 16.95 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-RB-Bsigma=502017.07 | 34.13 | 93.23 | 15.71 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-RB-Ssigma=502017.07 | 34.12 | 90.74 | 15.38 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-Rsigma=302017.07 | 33.35 | 91.42 | 13.58 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLRNNoise sigma=152019.07 | 33.16 | 90.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCDNNoise sigma=152019.07 | 33.14 | 90.72 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNNoise Level (σ)=152017.10 | 32.86 | — | — | 32.61 | 34.97 | 33.3 | 32.2 | 33.09 | 31.7 | 31.83 | 34.62 | 32.64 | 32.42 | 32.46 | 32.47 | |
| DnCNNNoise sigma=152019.07 | 32.86 | 90.31 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetNoise Level (σ)=152017.10 | 32.75 | — | — | 32.42 | 35.01 | 33.1 | 32.02 | 32.77 | 31.58 | 31.77 | 34.63 | 32.5 | 32.35 | 32.4 | 32.45 | |
| WNNMNoise Level (σ)=152017.10 | 32.7 | — | — | 32.17 | 35.13 | 32.99 | 31.82 | 32.71 | 31.39 | 31.62 | 34.27 | 33.6 | 32.27 | 32.11 | 32.17 | |
| WNNMNoise sigma=152019.07 | 32.7 | 89.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-RB-Bsigma=702017.07 | 32.52 | 91.45 | 13.56 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDNoise Level (σ)=152017.10 | 32.5 | — | — | 32.19 | 34.53 | 33.04 | 31.75 | 32.56 | 31.46 | 31.63 | 34.24 | 32.13 | 32.14 | 32.23 | 32.11 | |
| TNRDNoise sigma=152019.07 | 32.5 | 89.58 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level (σ)=152017.10 | 32.37 | — | — | 31.91 | 34.93 | 32.69 | 31.14 | 31.85 | 31.07 | 31.37 | 34.26 | 33.1 | 32.13 | 31.92 | 32.1 | |
| BM3DNoise sigma=152019.07 | 32.37 | 89.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-RB-Ssigma=702017.07 | 32.32 | 86.89 | 15.41 | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-Rsigma=502017.07 | 31.65 | 88.96 | 14.52 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLRNNoise sigma=252019.07 | 30.8 | 86.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCDNNoise sigma=252019.07 | 30.78 | 86.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=302017.07 | 30.65 | 86.44 | 9.24 | — | — | — | — | — | — | — | — | — | — | — | — | |
| N³Netsigma=252018.10 | 30.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| N3NetNoise sigma=252019.07 | 30.55 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RED-Netsigma=302017.07 | 30.48 | 86.1 | 62.71 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NN3Dsigma=252018.10 | 30.45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=252018.10 | 30.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNNoise sigma=252019.07 | 30.44 | 86.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNNoise Level (σ)=252017.10 | 30.43 | — | — | 30.18 | 33.06 | 30.87 | 29.41 | 30.28 | 29.13 | 29.43 | 32.44 | 30 | 30.21 | 30.1 | 30.12 | |
| FFDNetNoise Level (σ)=252017.10 | 30.43 | — | — | 30.06 | 33.27 | 30.79 | 29.33 | 30.14 | 29.05 | 29.43 | 32.59 | 29.98 | 30.23 | 30.1 | 30.18 | |
| FFDNetsigma=252018.10 | 30.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5sigma=302017.07 | 30.42 | 85.92 | 14.39 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=302017.07 | 30.41 | 85.53 | 1.47 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised methodsigma=252026.05 | 30.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLNetsigma=252018.10 | 30.31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Refined BM3dsigma=252026.05 | 30.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WNNMNoise sigma=252019.07 | 30.28 | 85.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UNLNetsigma=252018.10 | 30.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WNNMNoise Level (σ)=252017.10 | 30.26 | — | — | 29.64 | 33.22 | 30.42 | 29.03 | 29.84 | 28.69 | 29.15 | 32.24 | 31.24 | 30.03 | 29.76 | 29.82 | |
| LGSRsigma=252026.05 | 30.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5-Rsigma=702017.07 | 30.09 | 85.29 | 13.86 | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDNoise Level (σ)=252017.10 | 30.06 | — | — | 29.72 | 32.53 | 30.57 | 29.02 | 29.85 | 28.88 | 29.18 | 32 | 29.41 | 29.91 | 29.87 | 29.71 | |
| TNRDNoise sigma=252019.07 | 30.06 | 85.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MLPNoise Level (σ)=252017.10 | 30.03 | — | — | 29.61 | 32.56 | 30.3 | 28.82 | 29.61 | 28.82 | 29.25 | 32.25 | 29.54 | 29.97 | 29.88 | 29.73 | |
| Neighbour2Neighboursigma=252026.05 | 30.02 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=252026.05 | 30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level (σ)=252017.10 | 29.97 | — | — | 29.45 | 32.85 | 30.16 | 28.56 | 29.25 | 28.42 | 28.93 | 32.07 | 30.71 | 29.9 | 29.61 | 29.71 | |
| BM3DNoise sigma=252019.07 | 29.97 | 85.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=252018.10 | 29.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WIN5sigma=502017.07 | 29.52 | 83.76 | 14.82 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2Fastsigma=252026.05 | 29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetNoise Level (σ)=352017.10 | 28.92 | — | — | 28.54 | 31.99 | 29.18 | 27.58 | 28.54 | 27.47 | 28.02 | 31.2 | 28.29 | 28.82 | 28.7 | 28.68 | |
| WIN5sigma=702017.07 | 28.89 | 82.76 | 14.55 | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNNoise Level (σ)=352017.10 | 28.82 | — | — | 28.61 | 31.61 | 29.14 | 27.53 | 28.51 | 27.52 | 27.94 | 30.91 | 28.09 | 28.72 | 28.66 | 28.52 | |
| WNNMNoise Level (σ)=352017.10 | 28.69 | — | — | 28.08 | 31.92 | 28.75 | 27.27 | 28.13 | 27.1 | 27.69 | 30.73 | 29.48 | 28.54 | 28.33 | 28.24 | |
| MLPNoise Level (σ)=352017.10 | 28.46 | — | — | 28.08 | 31.18 | 28.54 | 27.12 | 27.97 | 27.22 | 27.72 | 30.82 | 27.62 | 28.53 | 28.47 | 28.24 | |
| BM3DNoise Level (σ)=352017.10 | 28.4 | — | — | 27.92 | 31.36 | 28.51 | 26.86 | 27.58 | 26.83 | 27.4 | 30.56 | 28.98 | 28.43 | 28.22 | 28.15 | |
| Noise2Selfsigma=252026.05 | 28.37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=502017.07 | 28.18 | 80.54 | 9.83 | — | — | — | — | — | — | — | — | — | — | — | — | |
| MMESsigma=252026.05 | 28.17 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RED-Netsigma=502017.07 | 28.03 | 79.88 | 63.66 | — | — | — | — | — | — | — | — | — | — | — | — | |
| RED-Netsigma=702017.07 | 27.95 | 79.5 | 63.2 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=502017.07 | 27.92 | 79.47 | 2.4 | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLRNNoise sigma=502019.07 | 27.64 | 79.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCDNNoise sigma=502019.07 | 27.6 | 79.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| N³Netsigma=502018.10 | 27.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| N3NetNoise sigma=502019.07 | 27.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetNoise Level (σ)=502017.10 | 27.32 | — | — | 27.03 | 30.43 | 27.43 | 25.77 | 26.88 | 25.9 | 26.58 | 29.68 | 26.48 | 27.32 | 27.3 | 27.07 | |
| FFDNetsigma=502018.10 | 27.31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NN3Dsigma=502018.10 | 27.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RED30sigma=502018.10 | 27.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=502018.10 | 27.19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNNoise Level (σ)=502017.10 | 27.18 | — | — | 27.03 | 30 | 27.32 | 25.7 | 26.78 | 25.87 | 26.48 | 29.39 | 26.22 | 27.2 | 27.24 | 26.9 | |
| DnCNNNoise sigma=502019.07 | 27.18 | 78.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Supervised methodsigma=502026.05 | 27.18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UNLNetsigma=502018.10 | 27.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WNNMNoise Level (σ)=502017.10 | 27.05 | — | — | 26.45 | 30.33 | 26.95 | 25.44 | 26.32 | 25.42 | 26.14 | 29.25 | 27.79 | 26.97 | 26.94 | 26.64 | |
| WNNMNoise sigma=502019.07 | 27.05 | 77.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NLNetsigma=502018.10 | 27.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LGSRsigma=502026.05 | 27.04 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Refined BM3dsigma=502026.05 | 27.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TNRDNoise Level (σ)=502017.10 | 26.81 | — | — | 26.62 | 29.48 | 27.1 | 25.42 | 26.31 | 25.59 | 26.16 | 28.93 | 25.7 | 26.94 | 26.98 | 26.5 | |
| TNRDNoise sigma=502019.07 | 26.81 | 76.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MLPNoise Level (σ)=502017.10 | 26.78 | — | — | 26.37 | 29.64 | 26.68 | 25.43 | 26.26 | 25.56 | 26.12 | 29.32 | 25.24 | 27.03 | 27.06 | 26.67 | |
| BM3Dsigma=502026.05 | 26.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Neighbour2Neighboursigma=502026.05 | 26.74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3DNoise Level (σ)=502017.10 | 26.72 | — | — | 26.13 | 29.69 | 26.68 | 25.04 | 25.82 | 25.1 | 25.9 | 29.05 | 27.22 | 26.78 | 26.81 | 26.46 | |
| BM3DNoise sigma=502019.07 | 26.72 | 76.76 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=502018.10 | 26.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=702017.07 | 26.52 | 75.46 | 9.42 | — | — | — | — | — | — | — | — | — | — | — | — | |
| BM3Dsigma=702017.07 | 26.32 | 74.51 | 2.3 | — | — | — | — | — | — | — | — | — | — | — | — | |
| Noise2Selfsigma=502026.05 | 26.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| N³Netsigma=702018.10 | 25.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetsigma=702018.10 | 25.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RED30sigma=702018.10 | 25.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NN3Dsigma=702018.10 | 25.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DnCNNsigma=702018.10 | 25.56 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFDNetNoise Level (σ)=752017.10 | 25.49 | — | — | 25.29 | 28.43 | 25.39 | 23.82 | 24.99 | 24.18 | 24.94 | 27.97 | 24.24 | 25.64 | 25.75 | 25.29 | |
| Noise2Fastsigma=502026.05 | 25.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WNNMNoise Level (σ)=752017.10 | 25.23 | — | — | 24.6 | 28.24 | 24.96 | 23.49 | 24.31 | 23.74 | 24.43 | 27.54 | 25.81 | 25.29 | 25.42 | 24.86 |