Underwater polarization de-scattering imaging independent of target-free region

<sec>Underwater optical imaging technology possesses broad application prospects in fields such as marine resource exploration, underwater ecological environment monitoring, and seabed topography detection. The technology employs the polarization characteristics of light, particularly those of the background and target, to achieve a clear image. However, the traditional methods rely on target-free regions to compute the backscattered light information, which is infrequently present in the actual scene captured by the camera. Then the full-space resolution of target information light and backscattered light information are required. At this time, the traditional methods may be difficult to adapt in practical application.</sec><sec>In this work, an underwater polarization de-scattering method independent of target-free regions is proposed by combining active polarization imaging and transmittance de-scattering model. Initially, the total light intensity within the camera’s field of view is decomposed into its polarized and unpolarized components. By removing the backscattered light with polarized and unpolarized information from the total light intensity, a clear underwater target can be obtained. Based on the active polarization imaging model, the backscattered light with polarization information is calculated, in which the polarization angle of the backscattered light is considered to be zero in the full-space. Thus, the polarization degree of the target information light occupying the camera’s entire field of view can be derived. According to the polarization correlation, the polarization degree of the backscattered light can be characterized, and the intensity of the backscattered light with polarization information in the camera’s entire field of view can also be obtained. Then the unpolarized component is calculated using the minimum intensity image with Stokes vector transformation. Finally, the underwater scene is obtained by combining the transmittance de-scattering principle and introducing adjustment parameters.</sec><sec>Experimental and real-world underwater imaging results demonstrate that the proposed method can effectively remove the majority of the backscattered light and improve the image contrast and entropy, regardless of whether there are target-free regions. Additionally, this method possesses a certain rate advantage, which can facilitate the real-time complex underwater imaging technology.</sec>

Authors

Publication Details

Journal
Acta Physica Sinica
Published
2024-12-25
DOI
https://doi.org/10.7498/aps.74.20241582
Citations
1
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Underwater polarization de-scattering imaging independent of target-free region

Yeqing Zhu, Xing Wang, 朱竹青 Zhu Zhuqing
1 citations
Acta Physica Sinica
Optical Polarization and Ellipsometry
0.18
article

Underwater polarization de-scattering imaging independent of target-free region

Yeqing Zhu, Xing Wang, 朱竹青 Zhu Zhuqing
article en
1 citations

Abstract

<sec>Underwater optical imaging technology possesses broad application prospects in fields such as marine resource exploration, underwater ecological environment monitoring, and seabed topography detection. The technology employs the polarization characteristics of light, particularly those of the background and target, to achieve a clear image. However, the traditional methods rely on target-free regions to compute the backscattered light information, which is infrequently present in the actual scene captured by the camera. Then the full-space resolution of target information light and backscattered light information are required. At this time, the traditional methods may be difficult to adapt in practical application.</sec><sec>In this work, an underwater polarization de-scattering method independent of target-free regions is proposed by combining active polarization imaging and transmittance de-scattering model. Initially, the total light intensity within the camera’s field of view is decomposed into its polarized and unpolarized components. By removing the backscattered light with polarized and unpolarized information from the total light intensity, a clear underwater target can be obtained. Based on the active polarization imaging model, the backscattered light with polarization information is calculated, in which the polarization angle of the backscattered light is considered to be zero in the full-space. Thus, the polarization degree of the target information light occupying the camera’s entire field of view can be derived. According to the polarization correlation, the polarization degree of the backscattered light can be characterized, and the intensity of the backscattered light with polarization information in the camera’s entire field of view can also be obtained. Then the unpolarized component is calculated using the minimum intensity image with Stokes vector transformation. Finally, the underwater scene is obtained by combining the transmittance de-scattering principle and introducing adjustment parameters.</sec><sec>Experimental and real-world underwater imaging results demonstrate that the proposed method can effectively remove the majority of the backscattered light and improve the image contrast and entropy, regardless of whether there are target-free regions. Additionally, this method possesses a certain rate advantage, which can facilitate the real-time complex underwater imaging technology.</sec>

Acta Physica SinicaVol. 74(4)
National Natural Science Foundation of China, Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
Openalex Percentile: Top 49%
Optical Polarization and Ellipsometry
0.18
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.