Exposure Correction on MIT-Adobe FiveK based (test)
19.9PSNR (Expert A)IAT
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| IATvariant=global2022.05 | 19.9 | 0.817 | 21.65 | 0.867 | 21.23 | 0.85 | 19.86 | 0.844 | 19.34 | 0.84 | 20.34 | 0.844 | 2.249 | |
| MSEC2022.05 | 19.16 | 0.746 | 20.1 | 0.734 | 20.2 | 0.769 | 18.98 | 0.719 | 18.98 | 0.727 | 19.48 | 0.739 | 2.251 | |
| DPEDbackbone=Sony2022.05 | 17.42 | 0.675 | 18.64 | 0.701 | 18.02 | 0.683 | 17.55 | 0.66 | 17.78 | 0.663 | 17.88 | 0.676 | 2.806 | |
| DPEtraining_dataset=S-FiveK2022.05 | 16.93 | 0.678 | 17.7 | 0.668 | 17.74 | 0.696 | 17.57 | 0.674 | 17.6 | 0.67 | 17.51 | 0.677 | 2.621 | |
| IATvariant=local2022.05 | 16.61 | 0.75 | 17.52 | 0.822 | 16.95 | 0.78 | 17.02 | 0.773 | 16.43 | 0.789 | 16.91 | 0.783 | 2.401 | |
| HE*type=non-deep learning2022.05 | 16.14 | 0.685 | 16.28 | 0.671 | 16.52 | 0.696 | 16.63 | 0.668 | 17.3 | 0.688 | 16.58 | 0.682 | 2.405 | |
| Deep-UPE2022.05 | 13.16 | 0.61 | 13.9 | 0.642 | 13.69 | 0.632 | 14.8 | 0.649 | 15.68 | 0.667 | 14.25 | 0.64 | 2.405 | |
| Zero-DCE2022.05 | 11.64 | 0.536 | 12.56 | 0.539 | 12.06 | 0.544 | 12.96 | 0.548 | 13.77 | 0.58 | 12.6 | 0.549 | 2.865 | |
| LIME*type=non-deep learning2022.05 | 11.15 | 0.59 | 11.83 | 0.61 | 11.52 | 0.607 | 12.64 | 0.628 | 13.61 | 0.653 | 12.15 | 0.618 | 2.432 | |
| RetinexNet2022.05 | 10.76 | 0.585 | 11.61 | 0.596 | 11.13 | 0.605 | 11.99 | 0.615 | 12.67 | 0.636 | 11.63 | 0.607 | 3.105 |