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Imaging techniques through discrete scattering media by polarized pulse waves

机译:通过偏振脉冲波通过离散散射介质进行成像技术

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Imaging through random media is an important problem with many applications including optical remote sensing and bio-optics. As the optical depth gets larger, the imaging resolution and contrast deteriorates because of the effect of scattering. In this paper, we present the solution to the vector radiative transfer equation (VRTE) and its application to the optical imaging problem. Since the incoherent component created by the scattering in random media is responsible for the deterioration of the quality of images, several techniques are proposed to improve the imaging by reducing the incoherent component. The Off-Axis Intensity Subtraction (OAIS) and Cross-Polarization Intensity Subtraction (CPIS) imaging techniques are based on the fact that off-axis and cross polarization contains most of the incoherent component. Photon Density Waves (PDW) is a frequency-domain method which exhibits less effect of multiple scattering from the random media. We investigate the techniques mentioned above using numerical solution of VRTE and show the effectiveness, the limitations and the conditions of these techniques. Because we consider the polarized pulse wave case, we also discuss the time-domain behavior and the application of time-gating to the imaging problem. The time-gating method is investigated in both position and duration. Since in practice an array of detectors are often used, we also include the effect of Field Of View of a detector (pixel FOV) in our calculations. We quantitatively measure the performance of imaging techniques by contrast. Also, we apply these techniques to numerical simulations of cross images and show the improvement of the quality of the images.
机译:通过随机媒体进行成像是许多应用程序,包括光学遥感和生物光学器件的重要问题。由于光学深度变大,由于散射的效果,成像分辨率和对比度恶化。在本文中,我们将载体辐射传输方程(VRTE)的解决方案及其应用于光学成像问题。由于随机介质中的散射产生的不连贯组分负责图像质量的劣化,所以提出了几种技术来通过减少不连贯的组分来改善成像。轴轴强度减法(OAI)和交叉偏振强度减法(CPI)成像技术基于以下事实:偏离轴和交叉极化包含大多数的非相干组件。光子密度波(PDW)是一种频率域方法,其呈现来自随机介质的多个散射的效果。我们研究了上面提到的技术,使用VRTE的数值解,并显示了这些技术的有效性,限制和条件。因为我们考虑了极化脉冲波形案例,我们还讨论了时域行为和时间范围的应用到成像问题。在位置和持续时间内研究了时代的方法。由于在实践中经常使用阵列,我们还包括检测器(Pixel Fov)的视野中的视野中的计算。我们通过对比定量测量成像技术的性能。此外,我们将这些技术应用于交叉图像的数值模拟,并显示图像质量的提高。

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