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Cited by 538

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Phase-retrieval stagnation problems and solutions

Fienup, J. R., Wackerman, C. C.·1986·Journal of the Optical Society of America A

Abstract

The iterative Fourier-transform algorithm has been demonstrated to be a practical method for reconstructing an object from the modulus of its Fourier transform (i.e., solving the problem of recovering phase from a single intensity measurement). In some circumstances the algorithm may stagnate. New methods are described that allow the algorithm to overcome three different modes of stagnation: those characterized by (1) twin images, (2) stripes, and (3) truncation of the image by the support constraint. Curious properties of Fourier transforms of images are also described: the zero reversal for the striped images and the relationship between the zero lines of the real and imaginary parts of the Fourier transform. A detailed description of the reconstruction method is given to aid those employing the iterative transform algorithm.

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Metadata

Authors
Fienup, J. R., & Wackerman, C. C.
Venue
Journal of the Optical Society of America A
Published
1986-11-01
Volume
3
Issue
11
Pages
1897
ISSN
  • 1084-7529 (ISSN-L)
  • 1520-8532
OpenAlex
W2107535961
Cited by
538
References
7
FWCI
10.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Phase-retrieval stagnation problems and solutions. https://app.cochat.ai/papers/10.1364/josaa.3.001897
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Fienup, J. R., & Wackerman, C. C. (1986). Phase-retrieval stagnation problems and solutions. Journal of the Optical Society of America A. https://doi.org/10.1364/josaa.3.001897

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.