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Phase retrieval algorithms: a comparison

Fienup, J. R.·1982·Applied Optics

Abstract

Iterative algorithms for phase retrieval from intensity data are compared to gradient search methods. Both the problem of phase retrieval from two intensity measurements (in electron microscopy or wave front sensing) and the problem of phase retrieval from a single intensity measurement plus a non-negativity constraint (in astronomy) are considered, with emphasis on the latter. It is shown that both the error-reduction algorithm for the problem of a single intensity measurement and the Gerchberg-Saxton algorithm for the problem of two intensity measurements converge. The error-reduction algorithm is also shown to be closely related to the steepest-descent method. Other algorithms, including the input-output algorithm and the conjugate-gradient method, are shown to converge in practice much faster than the error-reduction algorithm. Examples are shown.

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Metadata

Authors
Fienup, J. R.
Venue
Applied Optics
Published
1982-08-01
Volume
21
Issue
15
Pages
2758
ISSN
  • 0003-6935 (ISSN-L)
  • 1539-4522
OpenAlex
W2007593159
Cited by
5,596
References
0
FWCI
11.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Phase retrieval algorithms: a comparison. https://app.cochat.ai/papers/10.1364/ao.21.002758
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Fienup, J. R. (1982). Phase retrieval algorithms: a comparison. Applied Optics. https://doi.org/10.1364/ao.21.002758

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