基于空间解复用的散射介质单次大视场成像
Single shot large field of view imaging with scattering media by spatial demultiplexing
AI总结：
针对散射介质成像受记忆效应限制视场的问题，提出利用无用散斑提取空间信息，结合区域点扩散函数反卷积与迭代自动加权平均，实现单次大视场高质量成像，推动强散射成像技术发展。
摘要：
通过强散射介质实现光学聚焦和成像是一项具有挑战性的任务，但在科学研究、生物医学应用以及日常生活中有着广泛的应用。得益于散斑强度相关性的记忆效应（memory effect, ME），仅需单张散斑图案即可实现目标的高质量重建，且无需采用一些复杂的流程来降低散射效应。尽管大尺寸目标的所有空间信息都嵌入在单张散斑图像中，但ME对散射介质成像的视场（field of view, FOV）施加了严格限制。超出ME区域的目标无法被重建，只会产生无用的散斑图案，导致散斑对比度和重建质量下降。本文中，我们利用这些不可避免的散斑图案提取空间信息，扩大了光学成像系统的视场。研究采用固定的区域点扩散函数（point spreading functions, PSFs）——这类函数仅需记录一次即可永久使用——通过反卷积算法重建目标对应的空间区域，随后在迭代过程中执行自动加权平均，以获得视场显著扩大的目标图像。我们的研究结果为发展强散射介质先进成像技术迈出了重要一步。
英文摘要：
Optically focusing and imaging through strongly scattering media are challenging tasks but have widespread applications from scientific research to biomedical applications and daily life. Benefiting from the memory effect (ME) for speckle intensity correlations, only one single-shot speckle pattern can be used for the high quality recovery of the objects and avoiding some complicated procedures to reduce scattering effects. In spite of all the spatial information from a large object being embedded in a single speckle image, ME gives a strict limitation to the field of view (FOV) for imaging through scattering media. Objects beyond the ME region cannot be recovered and only produce unwanted speckle patterns, causing reduction in the speckle contrast and recovery quality. Here, we extract the spatial information by utilizing these unavoidable speckle patterns, and enlarge the FOV of the optical imaging system. Regional point spreading functions (PSFs), which are fixed and only need to be recorded once for all time use, are employed to recover corresponding spatial regions of an object by deconvolution algorithm. Then an automatic weighted averaging in an iterative process is performed to obtain the object with significantly enlarged FOV. Our results present an important step toward an advanced imaging technique with strongly scattering media.
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