Underwater polarization imaging for visibility enhancement of moving targets in turbid environments Article Swipe
Tao Yu
,
Xiaolei Wang
,
Sixing Xi
,
Quanquan Mu
,
Zhuqing Zhu
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1364/oe.477243
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1364/oe.477243
Polarization imaging techniques have more prominent advantages for imaging in strongly scattered media. Previous de-scattering methods of polarization imaging usually require the priori information of the background region, and rarely consider the effect of non-uniformity of the optical field on image recovery, which not only reduces the processing speed of imaging but also introduces errors in image recovery, especially for moving targets in complex scattering environments. In this paper, we propose a turbid underwater moving image recovery method based on the global estimation of the intensity and the degree of polarization (DOP) of the backscattered light, combined with polarization-relation histogram processing techniques. The full spatial distribution of the intensity and the DOP of the backscattered light are obtained by using frequency domain analysis and filtering. Besides, a threshold factor is set in the frequency domain low-pass filter, which is used to adjust the execution region of the filter, which effectively reduces the error in image recovery caused by estimating the DOP of the backscattered light as a constant in traditional methods with non-uniform illumination. Meanwhile, our method requires no human-computer interaction, which effectively solves the drawbacks that the moving target is difficult to be recovered by traditional methods. Experimental studies were conducted on static and moving targets under turbid water, and satisfactory image recovery quality is achieved.
Related Topics
Concepts
Optics
Polarizing filter
Polarization (electrochemistry)
Underwater
Image quality
Visibility
Computer science
Image processing
Spatial frequency
Histogram
A priori and a posteriori
Light intensity
Image restoration
Scattering
Computer vision
Optical filter
Physics
Image (mathematics)
Geology
Oceanography
Physical chemistry
Chemistry
Philosophy
Epistemology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.477243
- OA Status
- gold
- Cited By
- 32
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313455311
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4313455311Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1364/oe.477243Digital Object Identifier
- Title
-
Underwater polarization imaging for visibility enhancement of moving targets in turbid environmentsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-12-09Full publication date if available
- Authors
-
Tao Yu, Xiaolei Wang, Sixing Xi, Quanquan Mu, Zhuqing ZhuList of authors in order
- Landing page
-
https://doi.org/10.1364/oe.477243Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1364/oe.477243Direct OA link when available
- Concepts
-
Optics, Polarizing filter, Polarization (electrochemistry), Underwater, Image quality, Visibility, Computer science, Image processing, Spatial frequency, Histogram, A priori and a posteriori, Light intensity, Image restoration, Scattering, Computer vision, Optical filter, Physics, Image (mathematics), Geology, Oceanography, Physical chemistry, Chemistry, Philosophy, EpistemologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
32Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 13, 2024: 16, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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