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基于斯托克斯的水下浑浊介质偏振恢复

Underwater Turbid Media Stokes-Based Polarimetric Recovery.

作者信息

Wang Zhenfei, Hu Meixin, Zhang Ketao

机构信息

Centre for Advanced Robotics at Queen Mary (ARQ), School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London E1 4NS, UK.

School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China.

出版信息

Sensors (Basel). 2024 Feb 20;24(5):1367. doi: 10.3390/s24051367.

DOI:10.3390/s24051367
PMID:38474902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10934000/
Abstract

Underwater optical imaging for information acquisition has always been an innovative and crucial research direction. Unlike imaging in the air medium, the underwater optical environment is more intricate. From an optical perspective, natural factors such as turbulence and suspended particles in the water cause issues like light scattering and attenuation, leading to color distortion, loss of details, decreased contrast, and overall blurriness. These challenges significantly impact the acquisition of underwater image information, rendering subsequent algorithms reliant on such data unable to function properly. Therefore, this paper proposes a method for underwater image restoration using Stokes linearly polarized light, specifically tailored to the challenges of underwater complex optical imaging environments. This method effectively utilizes linear polarization information and designs a system that uses the information of the first few frames to calculate the enhanced images of the later frames. By doing so, it achieves real-time underwater Stokes linear polarized imaging while minimizing human interference during the imaging process. Furthermore, the paper provides a comprehensive analysis of the deficiencies observed during the testing of the method and proposes improvement perspectives, along with offering insights into potential future research directions.

摘要

用于信息采集的水下光学成像一直是一个创新且关键的研究方向。与在空气介质中的成像不同,水下光学环境更为复杂。从光学角度来看,水中的湍流和悬浮颗粒等自然因素会引发光散射和衰减等问题,导致颜色失真、细节丢失、对比度降低以及整体图像模糊。这些挑战严重影响水下图像信息的采集,使得依赖此类数据的后续算法无法正常运行。因此,本文提出一种利用斯托克斯线偏振光进行水下图像复原的方法,专门针对水下复杂光学成像环境的挑战。该方法有效利用线偏振信息,并设计了一个利用前几帧信息来计算后续帧增强图像的系统。通过这样做,它实现了水下斯托克斯线偏振光的实时成像,同时在成像过程中尽量减少人为干扰。此外,本文对该方法测试过程中观察到的不足之处进行了全面分析,并提出了改进的观点以及对未来潜在研究方向的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/c1e9885fc20f/sensors-24-01367-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/8cf2486f565f/sensors-24-01367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/c15aecf35871/sensors-24-01367-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/749e2539eb42/sensors-24-01367-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/3d6a8f4772e3/sensors-24-01367-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/d2d8c6122178/sensors-24-01367-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/d28ce80f2606/sensors-24-01367-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/350fbc3fe692/sensors-24-01367-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/c1e9885fc20f/sensors-24-01367-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/8cf2486f565f/sensors-24-01367-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/c15aecf35871/sensors-24-01367-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/749e2539eb42/sensors-24-01367-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/3d6a8f4772e3/sensors-24-01367-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/d2d8c6122178/sensors-24-01367-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/d28ce80f2606/sensors-24-01367-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/350fbc3fe692/sensors-24-01367-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e768/10934000/c1e9885fc20f/sensors-24-01367-g008.jpg

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本文引用的文献

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Enhancing underwater optical imaging by using a low-pass polarization filter.使用低通偏振滤光片增强水下光学成像。
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