利用生成对抗网络实现水下图像增强
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李钰, 杨道勇, 刘玲亚, 王易因
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Underwater Image Enhancement Based on Generative Adversarial Networks
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LI Yu, YANG Daoyong, LIU Lingya, WANG Yiyin
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表3 各增强算法在多场景数据上的评价指标对比
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Tab.3 Metrics comparison of various enhancement algorithms on multi-scene images
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| 算法 | 场景 | UIQM | CCF | 信息熵 | | 文献[23] | 场景1 | 3.079 | 20.426 | 7.507 | | 场景2 | 2.420 | 19.494 | 7.051 | | 场景3 | 3.032 | 21.242 | 7.343 | | 场景4 | 3.382 | 21.134 | 7.454 | | 场景5 | 2.898 | 15.489 | 7.233 | | 文献[24] | 场景1 | 2.904 | 21.673 | 7.494 | | 场景2 | 2.011 | 21.904 | 7.168 | | 场景3 | 3.059 | 21.286 | 7.519 | | 场景4 | 3.293 | 20.427 | 7.329 | | 场景5 | 2.690 | 16.985 | 7.305 | | 文献[25] | 场景1 | 3.022 | 22.459 | 7.549 | | 场景2 | 2.623 | 21.427 | 7.247 | | 场景3 | 3.050 | 22.523 | 7.625 | | 场景4 | 3.340 | 21.842 | 7.472 | | 场景5 | 2.875 | 17.364 | 7.357 | | 文献[26] | 场景1 | 3.225 | 23.419 | 7.484 | | 场景2 | 2.505 | 20.444 | 7.232 | | 场景3 | 3.121 | 20.302 | 7.532 |
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