Geometry of the Phase Retrieval Problem

Author:

Barnett Alexander H.,Epstein Charles L.,Greengard Leslie,Magland Jeremy

Abstract

Recovering the phase of the Fourier transform is a ubiquitous problem in imaging applications from astronomy to nanoscale X-ray diffraction imaging. Despite the efforts of a multitude of scientists, from astronomers to mathematicians, there is, as yet, no satisfactory theoretical or algorithmic solution to this class of problems. Written for mathematicians, physicists and engineers working in image analysis and reconstruction, this book introduces a conceptual, geometric framework for the analysis of these problems, leading to a deeper understanding of the essential, algorithmically independent, difficulty of their solutions. Using this framework, the book studies standard algorithms and a range of theoretical issues in phase retrieval and provides several new algorithms and approaches to this problem with the potential to improve the reconstructed images. The book is lavishly illustrated with the results of numerous numerical experiments that motivate the theoretical development and place it in the context of practical applications.

Publisher

Cambridge University Press

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Polarimetric Fourier Phase Retrieval;SIAM Journal on Imaging Sciences;2024-03-11

2. Numerical analytic continuation;Japan Journal of Industrial and Applied Mathematics;2023-06-26

3. Approximate Lipschitz stability for phaseless inverse scattering with background information;Journal of Inverse and Ill-posed Problems;2023-05-03

4. Autocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms;Proceedings of the National Academy of Sciences;2023-04-24

5. Eigenvector Phase Retrieval: Recovering eigenvectors from the absolute value of their entries;Linear Algebra and its Applications;2022-11

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