Recent advances in computational imaging have significantly expanded our ability to image through scattering layers such as biological tissues by exploiting the auto-correlation properties of captured speckle intensity patterns. However, most experimental demonstrations of this capability focus on the far-field imaging setting, where obscured light sources are very far from the scattering layer. By contrast, medical imaging applications such as fluorescent imaging operate in the near-field imaging setting, where sources are inside the scattering layer. We provide a theoretical and experimental study of the similarities and differences between the two settings, highlighting the increased challenges posed by the near-field setting. We then draw insights from this analysis to develop a new algorithm for imaging through scattering that is tailored to the near-field setting by taking advantage of unique properties of speckle patterns formed under this setting, such as their local support. We present a theoretical analysis of the advantages of our algorithm and perform real experiments in both far-field and near-field configurations, showing an order-of magnitude expansion in both the range and the density of the obscured patterns that can be recovered.

中文翻译：

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具有局部散斑强度相关性的成像：理论与实践

计算成像的最新进展通过利用捕获的散斑强度模式的自相关特性，显着扩展了我们通过诸如生物组织等散射层进行成像的能力。然而，这种能力的大多数实验演示都集中在远场成像设置上，其中被遮挡的光源离散射层很远。相比之下，荧光成像等医学成像应用在近场成像环境中运行，其中光源位于散射层内部。我们对两种设置之间的异同进行了理论和实验研究，强调了近场设置带来的更多挑战。然后，我们从该分析中汲取见解，通过利用在此设置下形成的散斑图案的独特属性（例如它们的局部支持），开发一种针对近场设置量身定制的通过散射成像的新算法。我们对我们的算法的优势进行了理论分析，并在远场和近场配置中进行了实际实验，显示了可以恢复的模糊图案的范围和密度都有一个数量级的扩展。