Image-restoration algorithm based on an underwater polarization imaging visualization model

Zhang, Yingluo; Qian, Cheng; ZHANG, YIKE; Han, Fei

doi:10.1364/josaa.454557

Cited by 7 publications

(1 citation statement)

References 28 publications

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“…With the increase of demand for marine environment detection, the underwater optical imaging technology is playing an increasingly important role in various fields, such as operation and rescue, resources exploration and species protection [1][2][3] , etc. However, a layer of "fog" will be attached to the surface of the underwater image due to the scattering effect of suspended particles on incident light waves [4][5][6] , resulting in blurred imaging and poor detection of the target.…”

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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Real-time underwater polarization imaging without relying on background

Deng

Zhu

et al. 2023

Optics and Lasers in Engineering

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Research of the underwater polarization imaging process based on the Oren–Nayar polarization bidirectional reflection distribution function

Lang,

Zhang,

Feng

et al. 2024

J. Opt. Soc. Am. A

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The complex water environment makes the underwater imaging process very variable. For a more intuitive understanding of the underwater imaging process, in this paper, the Monte Carlo algorithm is combined with the Oren–Nayar polarization bidirectional reflection function to establish a visualization model of underwater laser polarization imaging. The model fully considers the specular reflection and diffuse reflection effects of the target surface. The Oren–Nayar model compensates for the deficiencies of the Lambert model in describing the diffuse reflection of target surfaces. The method is applied to analyze the effect of diffuse reflection on the laser polarization characteristics. The imaging process of high-polarized underwater targets and low-polarized underwater targets is simulated, and the effect of suspended particles on underwater optical transmission characteristics and underwater imaging is analyzed. The variation of backscattering light and system polarization characteristics with medium concentration is investigated in the simulation and experiment, respectively. The results show that the simulated images and experimental images have the same characteristics and change rules, indicating that the model can simulate the process of underwater polarization imaging correctly.

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Image-restoration algorithm based on an underwater polarization imaging visualization model

Cited by 7 publications

References 28 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

Real-time underwater polarization imaging without relying on background

Research of the underwater polarization imaging process based on the Oren–Nayar polarization bidirectional reflection distribution function

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