Image Super-resolution on BSD100 s=4 (test)
1SSIMHR
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| HRUpscaling Factor=4x2016.09 | 1 | — | 4.46 | |
| SRResNetUpscaling Factor=4x2016.09 | 0.762 | 27.58 | 2.29 | |
| DRCNUpscaling Factor=4x2016.09 | 0.7493 | 27.21 | 2.12 | |
| ESPCNUpscaling Factor=4x2016.09 | 0.7442 | 27.02 | 2.01 | |
| SelfExSRUpscaling Factor=4x2016.09 | 0.7387 | 26.83 | 1.89 | |
| ProposedTraining Dataset=DIV2K2016.11 | 0.738 | 27.66 | — | |
| SRCNNUpscaling Factor=4x2016.09 | 0.7291 | 26.68 | 1.87 | |
| RED30Number of layers=302016.06 | 0.729 | 27.4 | — | |
| RED20Number of layers=202016.06 | 0.7268 | 27.35 | — | |
| Proposed-PTraining Dataset=291 dataset2016.11 | 0.7266 | 27.32 | — | |
| VDSRTraining Dataset=291 dataset2016.11 | 0.7251 | 27.29 | — | |
| DnCNN-3Training Dataset=291 dataset2016.11 | 0.7247 | 27.29 | — | |
| RED10Number of layers=102016.06 | 0.7238 | 27.25 | — | |
| CSCN2016.06 | 0.7191 | 27.11 | — | |
| NBSRF2016.06 | 0.711 | 26.88 | — | |
| TSE2016.06 | 0.7108 | 26.85 | — | |
| SRCNN2016.06 | 0.7103 | 26.9 | — | |
| CSC2016.06 | 0.7101 | 26.83 | — | |
| ARFL+2016.06 | 0.7091 | 26.86 | — | |
| bicubicUpscaling Factor=4x2016.09 | 0.6935 | 25.94 | 1.47 | |
| SRGANUpscaling Factor=4x, Content Loss=VGG542016.09 | 0.6688 | 25.16 | 3.56 | |
| nearestUpscaling Factor=4x2016.09 | 0.6606 | 25.02 | 1.11 |