Recovering Missing Data in Coherent Diffraction Imaging

DOI10.1137/20M134767XzbMath1479.94013arXiv2002.02874MaRDI QIDQ5860296

Manas Rachh, Charles L. Epstein, Jeremy F. Magland, David A. Barmherzig, Leslie F. Greengard, Alex H. Barnett

Publication date: 19 November 2021

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.02874

zbMATH Keywords

noisephase retrievalcoherent diffraction imagingautocorrelation imagehole in \(k\)-spacerecovered magnitude data

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

How Exponentially Ill-Conditioned Are Contiguous Submatrices of the Fourier Matrix?

Cites Work

• On the eivenvalues of an integral equation arising in the theory of band-limited signals
• The reconstruction of a multidimensional sequence from the phase or magnitude of its Fourier transform
• Prolate Spheroidal Wave Functions, Fourier Analysis, and Uncertainty-V: The Discrete Case
• Geometry of the phase retrieval problem
• Holographic phase retrieval and reference design
• Searching with iterated maps
• Prolate Spheroidal Wave Functions, Fourier Analysis and Uncertainty - I

This page was built for publication: Recovering Missing Data in Coherent Diffraction Imaging