Low-light Image Enhancement on Synthetic low-light image dataset without noise
25.24PSNROurs
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Ours2019.08 | 25.24 | 0.94 | 0.08 | 0.67 | 495.48 | 0.93 | 2.04 | |
| GLADNet2019.08 | 24.57 | 0.9 | 0.09 | 0.62 | 513.18 | 0.91 | 5.52 | |
| MBLLEN2019.08 | 24.21 | 0.9 | 0.08 | 0.63 | 536.75 | 0.91 | -3.66 | |
| LLNet2019.08 | 20.11 | 0.8 | 0.39 | 0.4 | 1,088.43 | 0.87 | 4.3 | |
| Ying2019.08 | 19.21 | 0.8 | 0.11 | 0.56 | 778.67 | 0.83 | -9.28 | |
| BIMEF2019.08 | 18.28 | 0.76 | 0.11 | 0.49 | 550.2 | 0.85 | -28.06 | |
| DHECI2019.08 | 18.13 | 0.76 | 0.17 | 0.39 | 547.12 | 0.87 | -17.37 | |
| HE2019.08 | 17.88 | 0.76 | 0.18 | 0.47 | 596.67 | 0.88 | 19.24 | |
| Robust2019.08 | 16.83 | 0.69 | 0.2 | 0.47 | 1,052.22 | 0.82 | -22.09 | |
| DeepUPE2019.08 | 16.55 | 0.64 | 0.17 | 0.55 | 516.47 | 0.84 | -30.48 | |
| JED2019.08 | 16.11 | 0.65 | 0.21 | 0.41 | 1,212.66 | 0.82 | -25.95 | |
| MF2019.08 | 15.89 | 0.68 | 0.18 | 0.44 | 766 | 0.83 | -36.88 | |
| LIME2019.08 | 15.8 | 0.68 | 0.2 | 0.48 | 1,121.17 | 0.8 | -2.46 | |
| WAHE2019.08 | 15.46 | 0.65 | 0.18 | 0.44 | 564.83 | 0.84 | -39.38 | |
| Dong2019.08 | 15.37 | 0.65 | 0.22 | 0.35 | 1,228.49 | 0.81 | -33.8 | |
| NPE2019.08 | 14.93 | 0.66 | 0.18 | 0.42 | 875.15 | 0.83 | -41.35 | |
| MSRCR2019.08 | 14.87 | 0.72 | 0.15 | 0.52 | 1,249.24 | 0.82 | 35.07 | |
| SRIE2019.08 | 13.83 | 0.56 | 0.21 | 0.37 | 787.42 | 0.82 | -47.86 | |
| BPDHE2019.08 | 13.62 | 0.6 | 0.24 | 0.34 | 609.89 | 0.82 | -47.82 | |
| Input2019.08 | 11.99 | 0.45 | 0.26 | 0.33 | 677.85 | 0.8 | -59.22 |