Multi-Turbidity Underwater Image Restoration Based on Neural Network and Polarization Imaging

Xinyuan Gui; Ran Zhang; Haoyuan Cheng; Lianbiao Tian; Jinkui Chu

doi:10.3788/LOP202259.0410001

Laser & Optoelectronics Progress, Volume. 59, Issue 4, 0410001(2022)

Multi-Turbidity Underwater Image Restoration Based on Neural Network and Polarization Imaging

Xinyuan Gui, Ran Zhang, Haoyuan Cheng, Lianbiao Tian, and Jinkui Chu^*

Key Laboratory for Micro/Nano Technology and System of Liaoning Province, School of Mechanical Engineering, Dalian University of Technology, Dalian , Liaoning 116024, China

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Figures & Tables(10)

Fig. 1. Mueller matrix image

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Fig. 2. Experimental schematic of polarizing dataset shooting

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Fig. 3. Intensity images took under turbid and clean water

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Fig. 4. Neural network structure

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Fig. 5. Sliding-window overlay recovery method

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Fig. 6. Comparison of recovery effects. (a) Step of 8; (b) step of 1

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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 1. PSNR comparison of recovered images

Image	1 mL milk	2 mL milk	3 mL milk	4 mL milk
Turbid image	10.64	10.10	9.69	8.97
Recovered images with step of 8	14.75	13.70	12.96	11.70
Recovered images with step of 4	15.21	13.98	13.55	12.60
Recovered images with step of 2	15.64	14.11	13.89	13.06
Recovered images with step of 81	15.90	14.32	14.16	13.42

Table 2. SSIM of images restored by different methods
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Table 2. SSIM of images restored by different methods
Method 1 mL milk 2 mL milk 3 mL milk 4 mL milk
Method in Ref.［17］ 0.27 0.29 0.16 0.03
Method in Ref.［18］ 0.39 0.41 0.37 0.27
Method in Ref.［19］ 0.22 0.18 0.18 0.15
Ours 0.55 0.49 0.44 0.41

Table 3. EME of images restored by different methods
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Table 3. EME of images restored by different methods
Method 1 mL milk 2 mL milk 3 mL milk 4 mL milk
Method in Ref.［17］ 0.60 0.44 0.38 0.35
Method in Ref.［18］ 2.34 1.67 1.34 1.25
Method in Ref.［19］ 1.57 1.34 1.20 1.05
Ours 1.94 1.87 1.73 1.72

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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

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