Table 3 Comparison of results of various infrared image enhancement methods.
From: Dual decoding generative adversarial networks for infrared image enhancement
| Â | Method | OG | HE | CLAHE | GF | SSR | MSR | TIECNN | FUnIE | Ours |
|---|---|---|---|---|---|---|---|---|---|---|
Img1 | AG | 6.0248 | 21.5455 | 20.3509 | 10.9852 | 7.8593 | 7.9757 | 19.6100 | 21.7028 | 21.3267 |
IE | 6.2390 | 7.9608 | 7.7017 | 6.6686 | 6.6707 | 7.7514 | 7.8571 | 7.9113 | 7.9210 | |
PSNR | 7.8692 | 23.3966 | 14.2653 | 8.2680 | 8.8879 | 9.1173 | 21.3133 | 25.0579 | 25.5274 | |
SSIM | 0.3474 | 0.8459 | 0.7579 | 0.3994 | 0.4578 | 0.4520 | 0.8584 | 0.9166 | 0.9258 | |
Img2 | AG | 5.1035 | 21.4965 | 18.1191 | 7.0424 | 12.0773 | 10.4535 | 14.2562 | 16.0262 | 17.1275 |
IE | 5.8133 | 7.8804 | 7.1668 | 5.9153 | 7.7584 | 7.7491 | 7.4697 | 7.5638 | 7.7395 | |
PSNR | 10.6677 | 14.9974 | 16.1804 | 10.4561 | 15.0742 | 15.1718 | 21.5889 | 23.6008 | 26.9968 | |
SSIM | 0.4025 | 0.6304 | 0.7429 | 0.3764 | 0.6604 | 0.6363 | 0.7852 | 0.8452 | 0.8953 | |
Img3 | AG | 4.0684 | 27.9084 | 13.6946 | 6.4984 | 10.3271 | 9.9790 | 12.4966 | 13.4100 | 15.8442 |
IE | 5.0308 | 7.1811 | 6.8459 | 5.2812 | 6.9053 | 6.9398 | 6.6147 | 6.7015 | 7.0372 | |
PSNR | 15.3018 | 9.1228 | 23.4671 | 15.9015 | 8.8818 | 9.1681 | 23.3151 | 24.0755 | 27.2207 | |
SSIM | 0.4728 | 0.3746 | 0.7807 | 0.4856 | 0.4685 | 0.4754 | 0.8177 | 0.8379 | 0.8839 |
