基于斯托克斯向量偏振信息的水下视觉增强方法

Enhancement of underwater vision by fully exploiting the polarization information from the Stokes vector

基于斯托克斯向量偏振信息的水下视觉增强方法

摘要

近年来，基于偏振信息的水下光学成像方法因其可有效去除背向散射光而受到广泛关注。虽然斯托克斯（Stokes）矢量具有可用于描述了光束的偏振度和偏振角的信息的特点，但在学术研究领域，斯托克斯矢量很少应用于在图像重建。在本课题研究充分利用Stokes矢量的这一特点，建立了一种水下偏振成像模型。利用Stokes矢量所包含的偏振信息描述光束在水中的传输特性。然后根据目标反射光和后向散射光各自的独有特性，设计了一个最优化函数来估计目标反射光场和介质后向散射光场信息。通过实际实验和数值分析，证实了本课题所提出的方法能有效去除后向散射光对成像的影响，并准确地恢复目标信息。

Abstract

Underwater imaging method based on polarization information is extremely popular due to its ability to effectively remove the backscattered light. The Stokes vector contains the information of both the degree and angle of polarization of the light wave. However, this aspect has been rarely utilized in image reconstruction. In this study, an underwater polarimetric imaging model is established by fully exploiting this feature of Stokes vectors. The transmission of light wave is described in terms of the polarization information derived from the Stokes vector. Then, an optimization function is designed based on the independent characteristics of target light and backscattered light to estimate the target and backscattered field information. The real-world experiments and mean squared error analysis verify that the proposed method can remove the backscattered light and recover the target information accurately.

Yi Wei, Pingli Han, Fei Liu, and Xiaopeng Shao, “Enhancement of underwater vision by fully exploiting the polarization information from the Stokes vector,” Opt. Express 29, 22275-22287 (2021)

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