基于特征融合和一致性损失的双目低光照增强
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廖嘉文,庞彦伟,聂晶,孙汉卿,曹家乐
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Stereo low-light enhancement based on feature fusion and consistency loss
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Jia-wen LIAO,Yan-wei PANG,Jing NIE,Han-qing SUN,Jia-le CAO
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| 表 5 不同图像增强方法在SLL10K室内数据集上的指标对比 |
| Tab.5 Indicators comparison of different image enhancement methods on SLL10K indoor dataset |
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| 方法 | 左目 | | 右目 | | BRISQUE | NIQE | PIQE | LOE | PSNR | SSIM | LPIPS | BRISQUE | NIQE | PIQE | LOE | PSNR | SSIM | LPIPS | | RetinexNet[11] | 34.042 9 | 5.592 2 | 49.155 6 | 3 241.0 | 11.640 2 | 0.222 1 | 0.812 2 | | 33.562 7 | 5.596 0 | 48.305 5 | 3 102.3 | 11.211 8 | 0.238 0 | 0.798 2 | | ISSR[24] | 23.900 7 | 2.751 8 | 29.193 1 | 2 599.6 | 8.858 8 | 0.258 8 | 0.674 5 | 24.626 0 | 2.950 9 | 28.848 0 | 2 577.8 | 8.199 8 | 0.261 9 | 0.660 3 | | GLAD[25] | 23.139 6 | 3.673 4 | 42.574 7 | 2 547.2 | 12.875 1 | 0.229 0 | 0.666 0 | 25.854 5 | 3.581 8 | 41.646 0 | 2 515.4 | 12.174 0 | 0.247 5 | 0.648 3 | | DVENet[16] | 23.075 7 | 3.405 7 | 32.115 1 | 2 595.8 | 9.026 0 | 0.246 0 | 0.656 9 | 22.189 2 | 3.391 6 | 30.236 3 | 2 543.2 | 8.595 1 | 0.248 9 | 0.643 7 | | ZeroDCE++[17] | 27.663 3 | 3.694 9 | 38.553 7 | 2 738.0 | 11.230 5 | 0.360 5 | 0.725 4 | 27.262 2 | 3.649 7 | 38.050 0 | 2 671.1 | 10.410 9 | 0.363 1 | 0.713 0 | | RUAS[26] | 24.693 4 | 3.361 7 | 35.548 8 | 2 671.3 | 9.864 7 | 0.380 4 | 0.710 2 | 24.375 1 | 3.305 0 | 33.077 0 | 2 581.7 | 9.234 6 | 0.369 1 | 0.693 1 | | FCNet | 22.531 7 | 3.390 1 | 31.279 4 | 2 593.4 | 11.222 1 | 0.406 2 | 0.609 2 | 21.273 6 | 3.329 7 | 29.109 7 | 2 539.9 | 10.407 3 | 0.407 3 | 0.598 0 |
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