Xiaohua WU, Zenglu LI, Zhanghua XU, Jingchun ZHOU. Lightweight underwater image enhancement network based on cross-scale deep distillation feature perception[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(3): 381

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- Journal of Atmospheric and Environmental Optics
- Vol. 19, Issue 3, 381 (2024)

Fig. 1. Lightweight underwater image enhancement network structure diagram based on CSDDFP module

Fig. 2. Comparisons of parameter size and objective performance on LSUI400 dataset

Fig. 3. Visual comparisons of the mainstream methods on four benchmark datasets. (a) Input image; (b) UGAN; (c) WaterNet; (d) FUnIE_GAN; (e) UT-UIE; (f) ours; (g) ground truth

Fig. 4. Visual comparisons of the mainstream methods under insufficient illumination in deep water. (a) Input image; (b) UGAN; (c) WaterNet; (d) FUnIE_GAN; (e) UT-UIE; (f) ours; (g) ground truth

Fig. 5. Visual comparisons of the mainstream methods on texture details. (a) Input image; (b) UGAN; (c) WaterNet; (d) FUnIE_GAN; (e) UT-UIE; (f) ours; (g) ground truth
Table 1. Objective comparisons of different underwater image enhancement methods
Table 2. Ablation studies of the cross-scale deep distillation feature perception module

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