Image Denoising on BSD68 (test)
37.73PSNRBig-CDLNet-A
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Big-CDLNet-Asigma_test=5, sigma_train=[0, 55]2021.03 | 37.73 | — | |
| BF-DnCNNsigma_test=5, sigma_train=[0, 55]2021.03 | 37.72 | — | |
| DnCNN-Bsigma_test=5, sigma_train=[0, 55]2021.03 | 37.65 | — | |
| DnCNNsigma=15, Total Parameters=556032, First layer=3 x 3 x 1 x 64, Last layer=3 x 3 x 64 x 1, Mid layers=(3 x 3 x 64 x 64 + 128) x 152019.09 | 31.72 | — | |
| DnCNNsigma=15, number of parameters=556,0322019.09 | 31.72 | — | |
| FFDNetsigma=15, Total Parameters=486080, First layer=3 x 3 x 5 x 64, Last layer=3 x 3 x 64 x 4, Mid layers=(3 x 3 x 64 x 64 + 128) x 132019.09 | 31.63 | — | |
| FFDNetsigma=15, number of parameters=486,0802019.09 | 31.63 | — | |
| DnCNNsigma=152025.12 | 31.63 | — | |
| Big-CDLNet-Asigma_test=15, sigma_train=[0, 55]2021.03 | 31.62 | — | |
| DnCNN-Bsigma_test=15, sigma_train=[0, 55]2021.03 | 31.6 | — | |
| BF-DnCNNsigma_test=15, sigma_train=[0, 55]2021.03 | 31.58 | — | |
| Reinforced Diffusionsigma=15, data_augmentation=true2025.12 | 31.58 | — | |
| CSCNetsigma=15, Total Parameters=63700, Last layer=11 x 11 x 175 x 1, Mid layers=(11 x 11 x 175 x 1) x 2 + 1752019.09 | 31.57 | — | |
| CSCNetsigma=15, number of parameters=63,7002019.09 | 31.57 | — | |
| Reinforced Diffusionsigma=15, data_augmentation=false2025.12 | 31.48 | — | |
| TNRDsigma=152019.09 | 31.42 | — | |
| TNRDsigma=152019.09 | 31.42 | — | |
| WNNMsigma=152025.12 | 31.42 | — | |
| PixelRLsigma=152025.12 | 31.4 | — | |
| WNNMsigma=152019.09 | 31.37 | — | |
| WNNMsigma=152019.09 | 31.37 | — | |
| TNRDsigma=152025.12 | 31.3 | — | |
| BM3Dsigma=152019.09 | 31.07 | — | |
| BM3Dsigma=152019.09 | 31.07 | — | |
| BM3Dsigma=152025.12 | 31.07 | — | |
| DnCNNsigma=25, Total Parameters=556032, First layer=3 x 3 x 1 x 64, Last layer=3 x 3 x 64 x 1, Mid layers=(3 x 3 x 64 x 64 + 128) x 152019.09 | 29.22 | — | |
| DnCNNsigma=25, number of parameters=556,0322019.09 | 29.22 | — | |
| Big-CDLNet-Asigma_test=25, sigma_train=[0, 55]2021.03 | 29.2 | — | |
| FFDNetsigma=25, Total Parameters=486080, First layer=3 x 3 x 5 x 64, Last layer=3 x 3 x 64 x 4, Mid layers=(3 x 3 x 64 x 64 + 128) x 132019.09 | 29.19 | — | |
| FFDNetsigma=25, number of parameters=486,0802019.09 | 29.19 | — | |
| NBNetCase=Case 12020.12 | 29.16 | — | |
| DnCNN-Bsigma_test=25, sigma_train=[0, 55]2021.03 | 29.15 | — | |
| DnCNNsigma=252025.12 | 29.15 | — | |
| BF-DnCNNsigma_test=25, sigma_train=[0, 55]2021.03 | 29.12 | — | |
| CSCNetsigma=25, Total Parameters=63700, Last layer=11 x 11 x 175 x 1, Mid layers=(11 x 11 x 175 x 1) x 2 + 1752019.09 | 29.11 | — | |
| CSCNetsigma=25, number of parameters=63,7002019.09 | 29.11 | — | |
| Reinforced Diffusionsigma=25, data_augmentation=true2025.12 | 29.1 | — | |
| VDNCase=Case 12020.12 | 29.02 | — | |
| Reinforced Diffusionsigma=25, data_augmentation=false2025.12 | 29.01 | — | |
| MLPsigma=252019.09 | 28.96 | — | |
| MLPsigma=252019.09 | 28.96 | — | |
| MLPsigma=252025.12 | 28.96 | — | |
| TNRDsigma=252019.09 | 28.92 | — | |
| TNRDsigma=252019.09 | 28.92 | — | |
| WNNMsigma=252025.12 | 28.92 | — | |
| PixelRLsigma=252025.12 | 28.85 | — | |
| WNNMsigma=252019.09 | 28.83 | — | |
| WNNMsigma=252019.09 | 28.83 | — | |
| FFDNetCase=Case 12020.12 | 28.78 | — | |
| TNRDsigma=252025.12 | 28.78 | — | |
| FFDNet+Case=Case 12020.12 | 28.77 | — | |
| NBNetCase=Case 22020.12 | 28.76 | — | |
| MemNetCase=Case 12020.12 | 28.74 | — | |
| DnCNN-BCase=Case 12020.12 | 28.73 | — | |
| VDNCase=Case 22020.12 | 28.67 | — | |
| NBNetCase=Case 32020.12 | 28.59 | — | |
| BM3Dsigma=252019.09 | 28.57 | — | |
| BM3Dsigma=252019.09 | 28.57 | — | |
| BM3Dsigma=252025.12 | 28.57 | — | |
| VDNCase=Case 32020.12 | 28.46 | — | |
| FFDNetCase=Case 22020.12 | 28.43 | — | |
| FFDNet+Case=Case 22020.12 | 28.42 | — | |
| MemNetCase=Case 22020.12 | 28.36 | — | |
| FFDNetCase=Case 32020.12 | 28.22 | — | |
| MemNetCase=Case 32020.12 | 28.2 | — | |
| FFDNet+Case=Case 32020.12 | 28.2 | — | |
| DnCNN-BCase=Case 22020.12 | 28.15 | — | |
| DnCNN-BCase=Case 32020.12 | 28.11 | — | |
| UDNetCase=Case 12020.12 | 27.13 | — | |
| CBM3DCase=Case 12020.12 | 26.51 | — | |
| CBM3DCase=Case 32020.12 | 26.44 | — | |
| UDNetCase=Case 32020.12 | 26.44 | — | |
| Big-CDLNet-Asigma_test=50, sigma_train=[0, 55]2021.03 | 26.3 | — | |
| FFDNetsigma=50, Total Parameters=486080, First layer=3 x 3 x 5 x 64, Last layer=3 x 3 x 64 x 4, Mid layers=(3 x 3 x 64 x 64 + 128) x 132019.09 | 26.29 | — | |
| FFDNetsigma=50, number of parameters=486,0802019.09 | 26.29 | — | |
| CSCNetsigma=50, Total Parameters=63700, Last layer=11 x 11 x 175 x 1, Mid layers=(11 x 11 x 175 x 1) x 2 + 1752019.09 | 26.24 | — | |
| CSCNetsigma=50, number of parameters=63,7002019.09 | 26.24 | — | |
| DnCNNsigma=50, Total Parameters=556032, First layer=3 x 3 x 1 x 64, Last layer=3 x 3 x 64 x 1, Mid layers=(3 x 3 x 64 x 64 + 128) x 152019.09 | 26.23 | — | |
| DnCNNsigma=50, number of parameters=556,0322019.09 | 26.23 | — | |
| DnCNN-Bsigma_test=50, sigma_train=[0, 55]2021.03 | 26.22 | — | |
| DnCNNsigma=502025.12 | 26.19 | — | |
| BF-DnCNNsigma_test=50, sigma_train=[0, 55]2021.03 | 26.17 | — | |
| Reinforced Diffusionsigma=50, data_augmentation=true2025.12 | 26.14 | — | |
| Reinforced Diffusionsigma=50, data_augmentation=false2025.12 | 26.08 | — | |
| MLPsigma=502019.09 | 26.03 | — | |
| MLPsigma=502019.09 | 26.03 | — | |
| MLPsigma=502025.12 | 26.03 | — | |
| TNRDsigma=502019.09 | 25.97 | — | |
| TNRDsigma=502019.09 | 25.97 | — | |
| WNNMsigma=502025.12 | 25.97 | — | |
| PixelRLsigma=502025.12 | 25.88 | — | |
| WNNMsigma=502019.09 | 25.87 | — | |
| WNNMsigma=502019.09 | 25.87 | — | |
| TNRDsigma=502025.12 | 25.8 | — | |
| BM3Dsigma=502019.09 | 25.62 | — | |
| BM3Dsigma=502019.09 | 25.62 | — | |
| BM3Dsigma=502025.12 | 25.62 | — | |
| MLPCase=Case 12020.12 | 25.58 | — | |
| CBM3DCase=Case 22020.12 | 25.28 | — | |
| PMsigma=152025.12 | 25.2 | — |