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 4 不同图像增强方法在SLL10K室外数据集上的指标对比 |
| Tab.4 Indicators comparison of different image enhancement methods on SLL10K outdoor dataset |
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| 方法 | 左目 | | 右目 | | BRISQUE | NIQE | PIQE | LOE | BRISQUE | NIQE | PIQE | LOE | | RetinexNet[11] | 24.640 7 | 4.257 3 | 36.454 5 | 1 741.5 | | 24.420 5 | 4.270 1 | 36.276 1 | 1752.7 | | ISSR[24] | 28.392 8 | 2.815 1 | 27.923 2 | 753.0 | 28.903 5 | 2.810 7 | 28.525 2 | 724.2 | | GLAD[25] | 23.628 8 | 3.280 8 | 28.633 4 | 590.8 | 23.729 0 | 3.268 0 | 28.310 2 | 584.8 | | DVENet[16] | 23.100 2 | 2.931 7 | 28.175 1 | 791.9 | 22.706 7 | 2.872 3 | 27.531 7 | 740.2 | | ZeroDCE++[17] | 25.684 8 | 2.832 7 | 32.569 0 | 807.7 | 25.560 2 | 2.857 2 | 32.118 0 | 814.4 | | RUAS[26] | 29.713 1 | 3.746 6 | 30.512 2 | 2 520.0 | 29.736 9 | 3.675 5 | 30.863 7 | 2 300.6 | | FCNet | 23.095 1 | 2.641 1 | 28.111 5 | 679.2 | 22.689 8 | 2.632 3 | 27.374 5 | 669.9 |
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