Algorithm for Underwater Polarization Imaging Based on Global Estimation

Fei Feng; Guojun Wu; Yafeng Wu; Yuhong Miao; Bo Liu

doi:10.3788/AOS202040.2111002

Journals >Acta Optica Sinica >Volume 40 >Issue 21 >Page 2111002 > Article

Acta Optica Sinica
Vol. 40, Issue 21, 2111002 (2020)

Algorithm for Underwater Polarization Imaging Based on Global Estimation

Fei Feng^1、2, Guojun Wu^1、2、*, Yafeng Wu^1、2, Yuhong Miao^1、2, and Bo Liu^1、2

Author Affiliations

¹Marine Optical Technology Laboratory, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, Shaanxi 710119, China

²Pilot National Laboratory for Marine Science and Technology, Qingdao, Shandong 266071, China

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DOI: 10.3788/AOS202040.2111002 Cite this Article Set citation alerts

Fei Feng, Guojun Wu, Yafeng Wu, Yuhong Miao, Bo Liu. Algorithm for Underwater Polarization Imaging Based on Global Estimation[J]. Acta Optica Sinica, 2020, 40(21): 2111002 Copy Citation Text

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Fig. 1. Underwater active polarization imaging model

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Fig. 2. Principle of polarization imaging algorithm based on global estimation

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Fig. 3. Optical path for polarization imaging experiment

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Fig. 4. Gray-scale images of degree of polarization of backscattered light. (a) Badminton; (b) metal block; (c) metal cooling fin

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Fig. 5. Comparison of restored images

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Fig. 6. Histogram comparison of restored results

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Parameter	Badminton		Metal block		Cooling fin
Parameter	80 mL milk+100 L water	100 mL milk+100 L water	80 mL milk+100 L water	100 mL milk+100 L water	80 mL milk+100 L water	100 mL milk+100 L water
${\hat{p}}_{target}$	0	0	0.35	0.35	0.33	0.29
ε_scat	0.26	0.18	0.12	0.07	0.17	0.14
ε_target	0	0	0	0	0	0

Table 1. Optimal values of modified parameters

Evaluation index	Badminton			Metal block			Cooling fin
Evaluation index	Original image	Schechner's result	Our result	Original image	Schechner's result	Our result	Original image	Schechner's result	Our result
EME	0.218	0.889	1.971	0.223	0.817	2.016	0.595	0.929	3.703
Average gradient	0.002	0.005	0.014	0.002	0.005	0.015	0.004	0.005	0.022
Standard deviation	0.045	0.131	0.327	0.051	0.033	0.311	0.060	0.046	0.281
Information entropy	5.058	5.078	5.200	4.909	4.433	6.540	5.663	4.553	7.335

Table 2. Evaluation results of restored images

Fei Feng, Guojun Wu, Yafeng Wu, Yuhong Miao, Bo Liu. Algorithm for Underwater Polarization Imaging Based on Global Estimation[J]. Acta Optica Sinica, 2020, 40(21): 2111002

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