基于无相PCA的欠采样动态傅立叶平面成像

Zhengyu Chen, Seyedehsara Nayer, Namrata Vaswani
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引用次数: 0

摘要

在最近的工作中,我们研究了无相PCA(低秩相位检索)问题,并为其开发了一种可证明正确且快速的交替最小化(AltMin)解决方案,称为AltMinLowRaP。在这项工作中,我们开发了一种AltMinLowRaP的修改,称为AltMinLowRaP- ptych,旨在降低动态傅立叶ptygraphy成像的样品复杂性(准确恢复所需的测量次数)。傅里叶平面摄影是一种计算成像技术,可以使用多个低分辨率相机实现高分辨率显微镜。通过对真实图像序列进行详尽的实验,并进行模拟体表测量,我们展示了我们的算法在减少准确恢复所需的样本数量方面的强大功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Undersampled Dynamic Fourier Ptychography via Phaseless PCA
In recent work, we studied the phaseless PCA (low rank phase retrieval) problem and developed a provably correct and fast alternating minimization (AltMin) solution for it called AltMinLowRaP. In this work, we develop a modification of AltMinLowRaP, called AltMinLowRaP-Ptych, that is designed for reducing the sample complexity (number of measurements required for accurate recovery) for dynamic Fourier ptychographic imaging. Fourier ptychography is a computational imaging technique that enables high-resolution microscopy using multiple low-resolution cameras. Via exhaustive experiments on real image sequences with simulated ptychographic measurements, we show the power of our algorithm for reducing the number of samples required for accurate recovery.
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