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Experimental results of imaging objects in turbid liquid integrating multiview circularly polarized speckle images and deconvolution method

机译:混浊液体成像对象的实验结果集成多维循环圆极化斑点图像及折吞法

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摘要

We hereby suggest and experimentally demonstrated an approach to enhance image quality during recovery of objects hidden in turbid liquid by fusion of single-shot multi-view circularly polarized speckle images collected by lens array and deconvolution algorithm based multiple medium sub-PSFs viewpoints. Circular polarized light was used since it has superior polarization memory enable deeper probing within turbid media. Experiments were carried out in transmission mode upon targets (transmitted and opaque) of different geometric shapes embedded within turbid liquid media of commercial instant coffee blended in lukewarm water at varied concentrations. The media were illuminated by circular polarized laser beam and multiple circular polarized speckled images were captured by camera. To counter the effect of scattering noises, multiple object images and Wiener deconvolution algorithm based multiple medium PSFs acquisition were shifted to a common center and then fused together to yield reconstructed images of the hidden objects. Following experiments, we demonstrated that by fusion of multiple images a better reconstruction was obtained as compared to the use of a single imaging lens. For a quantitative comparison, some common image quality metrics were used to evaluate the reconstruction quality. In addition, a phase only filter was applied during the deconvolution and its performance was compared with Wiener filtering. Overall, the feasibility of the proposed technique is proven by the experimental results. This work can be beneficial for application to imaging hidden targets buried in turbid system such as biological medium, fog, smoke, rain, etc. and therefore has potential for a wide variety of applications in medical diagnostics, security, sensing, underwater imaging, and more.
机译:我们特此建议并通过基于由基于镜头阵列和解卷积算法收集的多种介质子PSFS观点收集的单次多视图圆偏振斑点图像,在恢复混浊液中隐藏的物体期间提高图像质量的方法。使用圆形偏振光,因为它具有卓越的偏振存储器,使得能够更深入地探测浊度介质。在不同几何形状的靶(传递和不透明)的靶(传递和不透明)上进行实验,其嵌入在不同浓度的商用速溶咖啡的混浊液体介质内。通过圆极化激光束照亮介质,并且通过相机捕获多个圆偏振的斑点图像。为了对抗散射噪声的效果,基于多个介质PSFS获取的多个物体图像和维纳解卷积算法被移位到公共中心,然后融合在一起以产生隐藏对象的重建图像。在实验之后,我们证明,与使用单个成像镜头相比,通过多个图像融合,获得更好的重建。为了定量比较,使用一些常见的图像质量指标来评估重建质量。此外,在解卷积期间仅应用阶段过滤器,并将其性能与维纳滤波进行比较。总的来说,通过实验结果证明了所提出的技术的可行性。这项工作可以有利于应用于埋藏在混浊系统中的隐藏目标,如生物培养基,雾,烟雾,雨等,因此有可能在医疗诊断,安全性,传感,水下成像中各种应用以及更多的。

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