Xinyuan Gui, Ran Zhang, Haoyuan Cheng, Lianbiao Tian, Jinkui Chu. Multi-Turbidity Underwater Image Restoration Based on Neural Network and Polarization Imaging[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0410001
- Laser & Optoelectronics Progress
- Vol. 59, Issue 4, 0410001 (2022)
Fig. 1. Mueller matrix image
Fig. 2. Experimental schematic of polarizing dataset shooting
Fig. 3. Intensity images took under turbid and clean water
Fig. 4. Neural network structure
Fig. 5. Sliding-window overlay recovery method
Fig. 6. Comparison of recovery effects. (a) Step of 8; (b) step of 1
Fig. 7. Comparison of image recovery effects between different methods. (a) Original intensity image under turbid water; (b) multi-band fusion method[17]; (c) neural network method[18]; (d) wavelet defogging method[19]; (e) method proposed in this paper
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Table 1. PSNR comparison of recovered images
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Table 2. SSIM of images restored by different methods
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Table 3. EME of images restored by different methods
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