论文标题
条件良好的ptychograpic成像通过丢失的子空间完成
Well conditioned ptychograpic imaging via lost subspace completion
论文作者
论文摘要
PtyChography是相位检索问题的一种特殊情况，是现代成像中的一种流行方法。它的测量基于本地支持的窗口函数的偏移。通常，已知从这种测量中直接恢复对象是一个不适的问题。尽管对于某些窗口，可以控制条件，但对于许多重要情况，例如Gaussian Windows是不可能的。在本文中，我们开发了一个子空间完成算法，该算法可以稳定地重建，用于更广泛的窗口，包括高斯窗口。与正则化技术的结合可改善调理和更好的噪声稳健性。
Ptychography, a special case of the phase retrieval problem, is a popular method in modern imaging. Its measurements are based on the shifts of a locally supported window function. In general, direct recovery of an object from such measurements is known to be an ill-posed problem. Although for some windows the conditioning can be controlled, for a number of important cases it is not possible, for instance for Gaussian windows. In this paper we develop a subspace completion algorithm, which enables stable reconstruction for a much wider choice of windows, including Gaussian windows. The combination with a regularization technique leads to improved conditioning and better noise robustness.
