Zhang Wenjun, Zhu Shuo, Liu Lingfeng, Bai Lianfa, Han Jing, Guo Enlai
Opt Express. 2023 Oct 23;31(22):36503-36520. doi: 10.1364/OE.499879.
Effectively imaging through dynamic scattering media is of great importance and challenge. Some imaging methods based on physical or learning models have been designed for object reconstruction. However, with an increase in exposure time or more drastic changes in the scattering medium, the speckle pattern superimposed during camera integration time undergoes more significant changes, resulting in a modification of the collected speckle structure and increased blurring, which brings significant challenges to the reconstruction. Here, the clearer structural information of blurred speckles is unearthed with a presented speckle de-blurring algorithm, and a high-throughput imaging method through rapidly changing scattering media is proposed for reconstruction under long exposure. For the problem of varying blur degrees in different regions of the speckle, a block-based method is proposed to divide the speckle into distinct sub-speckles, which can realize the reconstruction of hidden objects. The imaging of hidden objects with different complexity through dynamic scattering media is demonstrated, and the reconstruction results are improved significantly for speckles with different blur degrees, which verifies the effectiveness of the method. This method is a high-throughput approach that enables non-invasive imaging solely through the collection of a single speckle. It directly operates on blurred speckles, making it suitable for traditional speckle-correlation methods and deep learning (DL) methods. This provides a new way of thinking about solving practical scattering imaging challenges.
通过动态散射介质进行有效成像具有重要意义且极具挑战性。已经设计了一些基于物理或学习模型的成像方法用于目标重建。然而，随着曝光时间的增加或散射介质变化更加剧烈，相机积分时间内叠加的散斑图案会发生更显著的变化，导致采集到的散斑结构发生改变且模糊加剧，这给重建带来了重大挑战。在此，利用所提出的散斑去模糊算法挖掘出模糊散斑中更清晰的结构信息，并提出一种通过快速变化散射介质的高通量成像方法用于长时间曝光下的重建。针对散斑不同区域模糊程度不同的问题，提出一种基于块的方法将散斑划分为不同的子散斑，从而能够实现隐藏物体的重建。展示了通过动态散射介质对不同复杂度隐藏物体的成像，并且对于不同模糊程度的散斑，重建结果都有显著改善，这验证了该方法的有效性。此方法是一种高通量方法，仅通过采集单个散斑就能实现非侵入式成像。它直接对模糊散斑进行操作，适用于传统的散斑相关方法和深度学习（DL）方法。这为解决实际散射成像挑战提供了一种新的思路。
