Image Super Resolution On Set14 8X Upscaling
Metrics
PSNR
SSIM
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | PSNR | SSIM |
|---|---|---|
| cascade-convolutional-neural-network-for | 24.30 | 0.614 |
| image-super-resolution-via-attention-based | 25.08 | 0.638 |
| densely-residual-laplacian-super-resolution | 25.4 | 0.6547 |
| hierarchical-back-projection-network-for | 24.96 | 0.642 |
| single-image-super-resolution-via-a-holistic | 25.39 | 0.6552 |
| deep-back-projection-networks-for-single | 25.41 | 0.657 |
| deepred-deep-image-prior-powered-by-red | 24.28 | - |