41 citations · 63 across the 6 of their papers we have counts for
7 papers
Practical Phase Retrieval Using Double Deep Image Priors
Zhong Zhuang, David Yang, Felix Hofmann +2
Phase retrieval (PR) concerns the recovery of complex phases from complex magnitudes. We identify the connection between the difficulty level and the number and variety of symmetri…
Towards Low-Photon Nanoscale Imaging: Holographic Phase Retrieval via Maximum Likelihood Optimization
David A. Barmherzig, Ju Sun
A new algorithmic framework is presented for holographic phase retrieval via maximum likelihood optimization, which allows for practical and robust image reconstruction. This frame…
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
Hannah Lawrence, David A. Barmherzig, Henry Li +2
Phase retrieval is the inverse problem of recovering a signal from magnitude-only Fourier measurements, and underlies numerous imaging modalities, such as Coherent Diffraction Imag…
Recovering missing data in coherent diffraction imaging
David Barmherzig, Alex B. Barnett, Charles L. Epstein +3
In coherent diffraction imaging (CDI) experiments, the intensity of the scattered wave impinging on an object is measured on an array of detectors. This signal can be interpreted a…
Dual-Reference Design for Holographic Coherent Diffraction Imaging
David A. Barmherzig, Ju Sun, Emmanuel J. Candès +2
A new reference design is introduced for holographic coherent diffraction imaging. This consists in two references - "block" and "pinhole" shaped regions - placed adjacent to the i…
Holographic Phase Retrieval and Reference Design
David A. Barmherzig, Ju Sun, T. J. Lane +2
A general mathematical framework and recovery algorithm is presented for the holographic phase retrieval problem. In this problem, which arises in holographic coherent diffraction…
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval
David Barmherzig, Ju Sun
While convergence of the Alternating Direction Method of Multipliers (ADMM) on convex problems is well studied, convergence on nonconvex problems is only partially understood. In t…