Image Super Resolution On Ixi
Metrics
PSNR 2x T2w
PSNR 4x T2w
SSIM 4x T2w
SSIM for 2x T2w
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | PSNR 2x T2w | PSNR 4x T2w | SSIM 4x T2w | SSIM for 2x T2w |
|---|---|---|---|---|
| mr-image-super-resolution-with-squeeze-and | 40.30 | 32.62 | 0.9472 | 0.9874 |
| multimodal-multi-head-convolutional-attention | 40.43 | 32.70 | 0.9469 | 0.9877 |
| residual-dense-network-for-image-super | 38.75 | 31.45 | 0.9324 | 0.9838 |
| channel-splitting-network-for-single-mr-image | 39.71 | 32.05 | 0.9413 | 0.9863 |
| task-transformer-network-for-joint-mri | 29.38 | 28.66 | 0.8500 | 0.8720 |
| accurate-image-super-resolution-using-very | 38.65 | 30.79 | 0.9240 | 0.9836 |
| image-super-resolution-using-deep | 37.32 | 29.69 | 0.9052 | 0.9796 |
| fast-and-accurate-single-image-super | 39.09 | 31.37 | 0.9312 | 0.9846 |
| convolutional-neural-networks-with-3 | 38.67 | 30.57 | 0.9210 | 0.9837 |