Correction and Implementation of Polarization-Difference Imaging Model for Underwater Target

Jiejun Wang; Lei Liang; Shu Li; Song Ye; Fangyuan Wang

doi:10.3788/AOS201939.1111003

Acta Optica Sinica, Volume. 39, Issue 11, 1111003(2019)

Correction and Implementation of Polarization-Difference Imaging Model for Underwater Target

Jiejun Wang^1,2, Lei Liang^1,2, Shu Li^1,2、*, Song Ye^1,2, and Fangyuan Wang^1,2

¹School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China

²Guangxi Key Laboratory of Photoelectric Information Processing, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China

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Fig. 1. Schematic of underwater imaging experimental apparatus

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Fig. 2. Ceramic images with different linear polarization directions. (a) 0°; (b) 45°; (c) 90°

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Fig. 3. Pre-processed intensity image

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Fig. 4. Restored image obtained by conventional underwater polarization difference imaging model

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Fig. 5. Restored scene image obtained by improved model

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Fig. 6. Estimation of correction parameter ε of ceramic restoration images. (a) Relationship among correction parameter ε, contrast, and information entropy; (b) relationship among correction parameter ε, average gradient, and information entropy

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Fig. 7. Comparison of glass fiber board imaging. (a) Pre-processed intensity image; (b) image restored by conventional underwater polarization difference imaging model; (c) image restored by improved model

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Fig. 8. Comparison of rusty blade imaging. (a) Pre-processed intensity image; (b) image restored by conventional underwater polarization difference imaging model; (c) image restored by improved model

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Fig. 9. Estimation of correction parameter ε of glass fiber board restoration images. (a) Relationship among correction parameter ε, contrast, and information entropy; (b) relationship among correction parameter ε, average gradient, and information entropy

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Fig. 10. Estimation of correction parameter ε of rusty blade restoration images. (a) Relationship among correction parameter ε, contrast, and information entropy; (b) relationship among correction parameter ε, average gradient, and information entropy

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Table 1. Comparison of experimental results
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Table 1. Comparison of experimental results
Image Contrast Contrast increment /% Information entropy Information entropy increment /% Average gradient
Fig. 3 0.1524 6.7354 0.0047
Fig. 4 0.3757 146 7.4431 10.5 0.0178
Fig. 5 0.6074 298 7.5260 11.7 0.0338

Table 2. Comparison of experimental results

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Table 2. Comparison of experimental results

Image	Contrast	Contrast increment /%	Information entropy	Information entropy increment /%	Average gradient
Fig. 7(a)	0.1048		6.0826		0.0043
Fig. 7(b)	0.3245	209	7.2476	19.1	0.0168
Fig. 7(c)	0.4573	336	7.4838	23	0.0269
Fig. 8(a)	0.1557		6.6513		0.0046
Fig. 8(b)	0.3486	123	7.3099	9.9	0.0146
Fig. 8(c)	0.5065	225	7.5931	14.2	0.0239

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Jiejun Wang, Lei Liang, Shu Li, Song Ye, Fangyuan Wang. Correction and Implementation of Polarization-Difference Imaging Model for Underwater Target[J]. Acta Optica Sinica, 2019, 39(11): 1111003

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