Real-time underwater polarization imaging without relying on background

Deng, Jinxin; Zhu, Jianxun; Li, Haoxiang; Zhang, Xiangzhe; Guo, Fengqi; Hou, Xun

doi:10.1016/j.optlaseng.2023.107721

Cited by 9 publications

(1 citation statement)

References 35 publications

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“…It is found that accurately measuring and analyzing tissue polarization signals is a significant challenge. However, in other applications where the influence of scattering media needs to be eliminated, such as outdoor dehazing [13,14] and underwater de-scattering [15,16], several image reconstruction methods (based on polarization imaging) have been proposed that achieve good results without the need for complex modeling, directly improving imaging quality in scattering environments.…”

Section: Introductionmentioning

confidence: 99%

Polarization-Based De-Scattering Imaging in Turbid Tissue-like Scattering Media

Zhang,

Liang,

Jiang

et al. 2023

Photonics

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In shallow tissues of the human body, pathological changes often occur, and there are several kinds of scattering media, such as mucosa, fat, and blood, present on the surface of these tissues. In such scattering environments, it is difficult to distinguish the location of the lesions using traditional attenuation-based imaging methods, while polarization-based imaging methods are more sensitive to this information. Therefore, in this paper, we conducted experiments using diluted milk to simulate biological tissues with scattering effects, illuminated with non-polarized light sources, and used an optimized robust polarization de-scattering algorithm for image processing. The results were qualitatively and quantitatively analyzed through local intensity comparison and visual fidelity functions, verifying the effectiveness of this algorithm under specific conditions.

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