Qingjiang CHEN, Xuanjun WANG, Fei SHAO. Underwater image enhancement based on multiscale residual attention networks[J]. Journal of Applied Optics, 2024, 45(1): 89
- Journal of Applied Optics
- Vol. 45, Issue 1, 89 (2024)
Fig. 1. Convolution operation
Fig. 2. Maximum pooling and average pooling operations
Fig. 3. Structure diagram of residual module
Fig. 4. Structure diagram of multi-scale residual attention network
Fig. 5. Multi-scale dense feature extraction module
Fig. 6. UNet3+-Avg module
Fig. 7. Construction process of layer-3 decoder feature map
Fig. 8. Attention residual recovery module
Fig. 9. CBAM module
Fig. 10. Underwater image example
Fig. 11. Comparison of results of different enhancement methods
Fig. 12. Comparison of results of ablation experiments
Fig. 13. Edge detection results
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Table 1. Average scores of subjective evaluation of nine experimental models
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Table 2. Average scores of evaluation indexes of nine experimental models
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Table 3. Mean scores of evaluation indexes of ablation experiments
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