Table 2.
Comparison of quantitative results on phantom dataset. Bold indicates the best results.
| Metrics | PSNR |
SSIM |
||||
|---|---|---|---|---|---|---|
| Datasets | Sparse 32 | Sparse 64 | Sparse 128 | Sparse 32 | Sparse 64 | Sparse 128 |
| UNet [22] | 29.827 | 30.342 | 30.441 | 0.96933 | 0.97190 | 0.97426 |
| GAN [37] | 27.174 | 28.727 | 30.965 | 0.74300 | 0.84467 | 0.86798 |
| Attention Unet [38] | 28.821 | 31.587 | 31.104 | 0.70210 | 0.87899 | 0.90529 |
| Trans Unet [39] | 30.723 | 30.514 | 30.747 | 0.90894 | 0.90188 | 0.90461 |
| Res Unet [40] | 28.496 | 29.315 | 29.507 | 0.89992 | 0.95963 | 0.95429 |
| Uformer [41] | 26.488 | 29.677 | 30.462 | 0.92699 | 0.94172 | 0.97499 |
| ADN [28] | 29.151 | 30.245 | 30.352 | 0.94239 | 0.95372 | 0.94756 |
| Ours | 32.903 | 34.487 | 34.209 | 0.97149 | 0.97883 | 0.98523 |