Influence of Underwater Targets with Different Polarization Properties on the Resolution of Imaging System

Jiefei, 韩捷飞 Han; Min, 夏珉 Xia; Liying, 孙立颖 Sun; Kecheng, 杨克成 Yang

doi:10.3788/aos201636.0311001

Cited by 2 publications

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“…For example, Liang [13] et al proposed a method to estimate intensity information of the target by introducing angle of polarization(AOP) into the polarization imaging model, and proved its effectiveness in image descattering. Han [14] et al proposed a method using Peak-to-Correlation Energy (PCE) to compare the differences between two images, and took the two images with the largest difference as the the highest light intensity image and the the lowest light intensity image, effectively solving the problem of inaccurate selection of orthogonal polarization images. In order to solve the problem of close imaging distance and inadequate separation of object and background caused by the strong scattering effect and non-uniformity of light filed in the imaging process, Liu [15] et alproposed a polarization imaging model in turbid underwater environment based on sparse low-rank characteristics of the light field.…”

Section: Introductionmentioning

confidence: 99%

An underwater polarimetric image descattering and material identification method based on unpaired multi-scale polarization fusion adversarial generative network

Wu,

Zhang

2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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Underwater optical imaging technology is extremely important for a wide range of applications, e.g., the operation and rescue, resources exploration and species protection in complex underwater environment. However, the underwater images always suffer from reduction of intensity, loss of contrast and blurred details due to the scattering and absorption caused by the scattering medium. Therefore, effective research methods are needed to achieve clear underwater imaging. In this paper, we propose an underwater polarimetric image descattering and material identification method based on unpaired multi-scale polarization fusion adversarial generative network. In our method, polarimetric image with different polarization states (I0, I45, I90) and the degree of polarization (DOP) maps are introduced to the network for the purpose of fully extracting polarization information. Experimental results show that our method can remove the underwater scattering effect effectively. And good restoration effect is achieved under unparied data sets, which breaks the dependence on strictly paired polarimetric images in previous learning methods. Not only complete intensity information is retained, but also more polarization information of the target could be extracted from the descattered image, which is especially beneficial for subsequent target identification. The average values of peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) of the descattered images under different turbidity have been greatly improved comparing with the original images. All in all, excellent performance is achieved in both subjective visual perception and objective evaluation indicators using our method, which provides a new way for underwater polarization imaging.

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Section: Introductionmentioning

confidence: 99%

An underwater polarimetric image descattering and material identification method based on unpaired multi-scale polarization fusion adversarial generative network

Wu,

Zhang

2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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“…Han Jiefei designed a polarization imaging experimental system based on LED auxiliary lighting. For targets with different polarization characteristics, different processing methods are used to obtain high-resolution images [8]. Liu Zhe proposed a material classification method based on polarized light imaging.…”

Section: Introductionmentioning

confidence: 99%

Polarization Imaging Method for Underwater Low-Visibility Metal Target Using Focus Dividing Plane

Xue

Zhao

et al. 2023

Applied Sciences

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Aiming at the problems of brightness attenuation and contrast reduction in the target image caused by underwater low-visibility environments, a metal target detection method based on split-focus plane polarization imaging is proposed. Firstly, a hybrid enhancement method is proposed to clarify the degraded polarization image. In this study, the GrayWorld method is improved to compensate the attenuation difference of the total light intensity of the polarization image. Variational contrast and saturation enhancement algorithms are used to reduce the underwater scattering effect; secondly, a split-focus plane polarization imaging system is built to complete the control of camera parameters, polarization image acquisition and information processing. Under different underwater low-visibility conditions, polarization imaging of targets with different materials can be realized; finally, an image quality evaluation system is constructed to compare the light intensity and degree of polarization images that are collected by the focal plane polarization imaging system. The polarization characteristics of metal and nonmetal target plates are analyzed. The results show that under the condition of low visibility, the obtained polarization image contrast of the metal target is relatively high, and its EME, information entropy and average gradient are increased by 183.82%, 53.46% and 586.22% on average relative to the image of light intensity. In an underwater low-visibility scene, the method of focal plane polarization imaging proposed in this paper can reduce the difficulty of metal target detection.

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Influence of Underwater Targets with Different Polarization Properties on the Resolution of Imaging System

Cited by 2 publications

References 0 publications

An underwater polarimetric image descattering and material identification method based on unpaired multi-scale polarization fusion adversarial generative network

An underwater polarimetric image descattering and material identification method based on unpaired multi-scale polarization fusion adversarial generative network

Polarization Imaging Method for Underwater Low-Visibility Metal Target Using Focus Dividing Plane

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