TABLE 5. Average Metrics on cropped Display Captured PhlatCam measurements.
FlatNet-gen performs consistently better than other learned approaches for both real (FlatNet-gen-C) and simulated PSF case(FlatNet-gen-UC). It should be noted that FlatNet-gen-UC performs as good as Le-ADMM based on real PSF.
| Method | PSNR(in dB) | SSIM | LPIPS |
|---|---|---|---|
| Tikh+U-Net-UC | 17.53 | 0.45 | 0.438 |
| Tikh+U-Net-C | 18.34 | 0.48 | 0.376 |
| Le-ADMM-UC | 17.94 | 0.45 | 0.410 |
| Le-ADMM-C | 18.72 | 0.48 | 0.371 |
| FlatNet-gen-UC | 18.72 | 0.48 | 0.375 |
| FlatNet-gen-C | 19.29 | 0.50 | 0.365 |