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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续表3
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| 算法 | 场景 | UIQM | CCF | 信息熵 | | 场景4 | 3.429 | 23.140 | 7.467 | | 场景5 | 3.042 | 16.458 | 7.262 | | 文献[13] | 场景1 | 2.541 | 17.698 | 6.623 | | 场景2 | 2.851 | 19.053 | 6.997 | | 场景3 | 2.669 | 12.017 | 6.459 | | 场景4 | 3.198 | 14.953 | 6.581 | | 场景5 | 2.270 | 10.881 | 6.244 | | 文献[27] | 场景1 | 2.418 | 12.589 | 6.403 | | 场景2 | 3.108 | 16.396 | 6.846 | | 场景3 | 2.668 | 14.434 | 6.926 | | 场景4 | 2.912 | 11.469 | 6.162 | | 场景5 | 2.560 | 13.142 | 6.917 | | 本文算法 | 场景1 | 3.421 | 25.313 | 7.701 | | 场景2 | 3.307 | 23.828 | 7.698 | | 场景3 | 3.272 | 24.259 | 7.698 | | 场景4 | 3.477 | 26.109 | 7.731 | | 场景5 | 3.194 | 19.491 | 7.444 |
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