论文标题
基于内存效应的散射成像系统的点扩展功能的非侵入性单拍恢复
Non-invasive single-shot recovery of point-spread function of a memory effect based scattering imaging system
论文作者
论文摘要
访问复杂光学系统的点传播函数（PSF）对于多种成像应用非常重要。但是，放置侵入性点源通常是不切实际的，并且用多个帧盲目估算它很慢，需要复杂的非线性优化。在这里，我们引入了一种简单的单发方法，以在多个光散射的背景下非侵入性地恢复异翼成像系统的精确PSF。我们的方法是基于使用自相关成像技术重建任何未知的稀疏隐藏对象，然后进行反卷积，并具有从斑点模式的统计数据中得出的模糊内核。然后在相机图像上进行反卷积，然后检索系统的准确PSF，从而实现了进一步的成像应用。与以前的反卷积技术相比，我们在数值和实验上证明了该方法的有效性。
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 non-linear optimization. Here, we introduce a simple single-shot method to non-invasively 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.
