Low-light image enhancement on Synthetic low-light images with additional noise (test)
20.84PSNRReinforce-Net
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Reinforce-Net2019.08 | 20.84 | 0.82 | 0.17 | 0.33 | 785.64 | 0.91 | 4.36 | |
| GLADNet2019.08 | 19.86 | 0.76 | 0.19 | 0.3 | 796.87 | 0.88 | 5.09 | |
| MBLLEN2019.08 | 19.27 | 0.73 | 0.23 | 0.3 | 864.57 | 0.89 | -4.87 | |
| LLNet2019.08 | 18.4 | 0.69 | 0.56 | 0.26 | 1,168.75 | 0.85 | -5.25 | |
| Ying2019.08 | 17.18 | 0.67 | 0.31 | 0.28 | 1,152.94 | 0.83 | -13.97 | |
| HE2019.08 | 16.65 | 0.64 | 0.36 | 0.26 | 1,036.22 | 0.87 | 20.21 | |
| BIMEF2019.08 | 16.57 | 0.64 | 0.32 | 0.28 | 978.96 | 0.83 | -32.65 | |
| DHECI2019.08 | 16.57 | 0.61 | 0.37 | 0.23 | 924.78 | 0.86 | -15.2 | |
| MF2019.08 | 15.29 | 0.59 | 0.33 | 0.26 | 1,095.33 | 0.82 | -37.46 | |
| DeepUPE2019.08 | 14.94 | 0.53 | 0.35 | 0.25 | 1,084.08 | 0.81 | -36.53 | |
| MSRCR2019.08 | 14.83 | 0.62 | 0.34 | 0.27 | 1,559.05 | 0.84 | 30.98 | |
| LIME2019.08 | 14.79 | 0.59 | 0.34 | 0.26 | 1,462.64 | 0.79 | -7.39 | |
| Dong2019.08 | 14.69 | 0.56 | 0.35 | 0.21 | 1,592.27 | 0.79 | -33.99 | |
| NPE2019.08 | 14.56 | 0.58 | 0.33 | 0.25 | 1,302.1 | 0.82 | -41.17 | |
| Robust2019.08 | 14.03 | 0.5 | 0.46 | 0.23 | 1,448.03 | 0.77 | -29.09 | |
| WAHE2019.08 | 13.97 | 0.52 | 0.36 | 0.27 | 935.21 | 0.81 | -46.87 | |
| JED2019.08 | 13.7 | 0.48 | 0.46 | 0.22 | 1,531.84 | 0.77 | -33.11 | |
| SRIE2019.08 | 13.1 | 0.48 | 0.37 | 0.25 | 1,095.3 | 0.8 | -52.53 | |
| BPDHE2019.08 | 12.6 | 0.48 | 0.38 | 0.23 | 925.56 | 0.79 | -54.66 | |
| Input2019.08 | 11.23 | 0.37 | 0.41 | 0.23 | 925.06 | 0.77 | -65.32 |