Type | Method | SOTS-Indoor | HSTS | Average | |||
PSNR↑ | SSIM↑ | PSNR↑ | SSIM↑ | PSNR↑ | SSIM↑ | ||
Learning-based | DehazeNet [8] | 21.14 | 0.8472 | 24.48 | 0.9153 | 22.81 | 0.8812 |
MSCNN [12] | 17.57 | 0.8102 | 18.64 | 0.8168 | 18.10 | 0.8135 | |
AOD-Net [10] | 19.06 | 0.8504 | 20.55 | 0.8973 | 19.80 | 0.8738 | |
CAP [7] | 19.05 | 0.8364 | 21.53 | 0.8726 | 20.29 | 0.8545 | |
Prior-based | DCP [6] | 16.62 | 0.8179 | 14.84 | 0.7609 | 15.73 | 0.7894 |
FVR [38] | 15.72 | 0.7483 | 14.48 | 0.7624 | 15.10 | 0.7553 | |
NLD [17] | 17.29 | 0.7489 | 18.92 | 0.7411 | 18.10 | 0.745 | |
Unsupervised Learning | DDIP [29] | 16.97 | 0.7147 | 20.91 | 0.8842 | 18.94 | 0.7994 |
YOLY [30] | 19.41 | 0.8327 | 23.82 | 0.9125 | 21.61 | 0.8726 | |
ZID [31] | 19.83 | 0.8353 | 22.65 | 0.9011 | 21.24 | 0.8682 | |
Ours | 20.47 | 0.8544 | 26.15 | 0.9507 | 23.31 | 0.9025 |