Table 3. Quantitative comparison of cross-domain test with different deep learning-based methods on DUKE17 and DUKE28. The best and second best results are marked in bold and underlined, respectively.
| Method | Scale | DUKE17 | DUKE28 | ||||
|---|---|---|---|---|---|---|---|
| PSNR | SSIM | RMSE | PSNR | SSIM | RMSE | ||
| Bicubic | ×2 | 18.40±0.41 | 0.1824±0.0136 | 30.70±1.45 | 18.56±0.47 | 0.2066±0.0314 | 30.16±1.65 |
| EDSR | ×2 | 27.80±1.79 | 0.8446±0.0303 | 10.60±2.26 | 29.23±2.40 | 0.8538±0.0277 | 9.17±2.89 |
| RCAN | ×2 | 26.70±1.18 | 0.8439±0.0280 | 11.89±1.62 | 28.43±2.18 | 0.8555±0.0289 | 9.98±2.84 |
| HAN | ×2 | 27.85±1.85 | 0.8458±0.0316 | 10.55±2.33 | 29.30±2.47 | 0.8548±0.0284 | 9.12±2.96 |
| IMDN | x2 | 27.45±1.74 | 0.8385±0.0312 | 11.02±2.23 | 29.01±2.38 | 0.8557±0.0320 | 9.40±2.94 |
| SAFMN | x2 | 27.34±1.60 | 0.8410±0.0307 | 11.13±2.12 | 28.64±2.27 | 0.8515±0.0283 | 9.78±2.95 |
| SwinIR | ×2 | 27.87±1.83 | 0.8462±0.0310 | 10.53±2.32 | 29.35±2.49 | 0.8560±0.0288 | 9.07±2.97 |
| HAT | ×2 | 27.99±1.89 | 0.8508±0.0316 | 10.40±2.36 | 29.53±2.61 | 0.8605±0.0323 | 8.93±3.07 |
| DAT | ×2 | 27.12±1.47 | 0.8468±0.0315 | 11.38±1.97 | 28.66±2.29 | 0.8589±0.0325 | 9.77±2.97 |
| DLGSANet | x2 | 27.64±1.74 | 0.8413±0.0300 | 10.78±2.24 | 28.99±2.27 | 0.8516±0.0274 | 9.38±2.78 |
| PSCAT (ours) | ×2 | 27.99±1.96 | 0.8510±0.0325 | 10.42±2.44 | 29.59±2.64 | 0.8626±0.0334 | 8.88±3.10 |
|
| |||||||
| Bicubic | ×4 | 18.37±0.40 | 0.1877±0.0143 | 30.78±1.42 | 18.50±0.45 | 0.2059±0.0265 | 30.34±1.59 |
| EDSR | ×4 | 27.74±1.74 | 0.8424±0.0296 | 10.66±2.21 | 29.02±2.23 | 0.8489±0.0242 | 9.35±2.73 |
| RCAN | ×4 | 27.23±1.54 | 0.8424±0.0308 | 11.26±2.04 | 28.66±2.23 | 0.8533±0.0290 | 9.74±2.85 |
| HAN | ×4 | 27.81±1.83 | 0.8436±0.0311 | 10.60±2.31 | 29.18±2.37 | 0.8515±0.0258 | 9.22±2.88 |
| IMDN | x4 | 27.69±1.79 | 0.8417±0.0309 | 10.74±2.26 | 29.15±2.38 | 0.8527±0.0284 | 9.26±2.93 |
| SAFMN | x4 | 27.41±1.66 | 0.8408±0.0308 | 11.06±2.19 | 28.39±2.15 | 0.8479±0.0242 | 10.02±2.86 |
| SwinIR | ×4 | 27.79±1.78 | 0.8453±0.0300 | 10.62±2.26 | 29.16±2.36 | 0.8528±0.0257 | 9.24±2.89 |
| HAT | ×4 | 27.83±1.78 | 0.8477±0.0301 | 10.56±2.24 | 29.16±2.44 | 0.8544±0.0276 | 9.26±3.01 |
| DAT | ×4 | 27.65±1.69 | 0.8473±0.0313 | 10.76±2.17 | 28.98±2.38 | 0.8559±0.0308 | 9.44±2.99 |
| DLGSANet | x4 | 27.87±1.96 | 0.8434±0.0307 | 10.56±2.47 | 29.30±2.55 | 0.8527±0.0286 | 9.15±3.07 |
| PSCAT (ours) | ×4 | 27.96±1.91 | 0.8498±0.0312 | 10.44±2.39 | 29.39±2.51 | 0.8582±0.0301 | 9.04±2.98 |