Image Super Resolution On Set5 8X Upscaling
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | PSNR | SSIM |
|---|---|---|
| densely-residual-laplacian-super-resolution | 27.46 | 0.7916 |
| single-image-super-resolution-via-a-holistic | 27.47 | 0.7920 |
| hierarchical-back-projection-network-for | 27.17 | 0.785 |
| Model 4 | 29.03 | 0.8299 |
| image-super-resolution-via-attention-based | 27.25 | 0.786 |
| deepred-deep-image-prior-powered-by-red | 26.04 | - |
| deep-back-projection-networks-for-single | 27.51 | 0.793 |
| cascade-convolutional-neural-network-for | 25.74 | 0.715 |