Accessing the point-spread function (PSF) of a complex optical system is important for a variety of imaging applications. However, placing an invasive point source is often impractical, and estimating it blindly with multiple frames is slow and requires a complex nonlinear optimization. Here, we introduce a simple single-shot method to noninvasively recover the accurate PSF of an isoplanatic imaging system, in the context of multiple light scattering. Our approach is based on the reconstruction of any unknown sparse hidden object using the autocorrelation imaging technique, followed by a deconvolution with a blur kernel derived from the statistics of a speckle pattern. A deconvolution on the camera image then retrieves the accurate PSF of the system, enabling further imaging applications. We demonstrate numerically and experimentally the effectiveness of this approach compared to previous deconvolution techniques.

中文翻译：

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基于记忆效应的散射成像系统的点扩散功能的非侵入性单次恢复

访问复杂光学系统的点扩展功能（PSF）对于各种成像应用而言非常重要。但是，放置有创点源通常是不切实际的，并且在多个帧中盲目估计它很慢，并且需要复杂的非线性优化。在这里，我们介绍了一种简单的单发方法，可以在多次光散射的情况下无创地恢复等平面成像系统的精确PSF。我们的方法基于使用自相关成像技术重建任何未知的稀疏隐藏对象的方法，然后使用从散斑图统计信息中导出的模糊核进行反卷积。然后，在摄像机图像上进行反卷积可以检索系统的准确PSF，从而可以进行进一步的成像应用。