The DOI matches its Crossref record.
Phase retrieval algorithms: a comparison
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Understanding and evaluating blind deconvolution algorithms
Levin, A., Weiss, Y., Durand, F., & Freeman, W. T. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206815 · Cited by 1,208
Hard-X-Ray Lensless Imaging of Extended Objects
Rodenburg, J. M., Hurst, A. C., Cullis, A. G., Dobson, B. R., Pfeiffer, F., Bunk, O., David, C., Jefimovs, K., & Johnson, I. (2007) · Physical Review Letters · doi:10.1103/physrevlett.98.034801 · Cited by 855
Phase-retrieval stagnation problems and solutions
Fienup, J. R., & Wackerman, C. C. (1986) · Journal of the Optical Society of America A · doi:10.1364/josaa.3.001897 · Cited by 538
Self-citationFundamentals of phase-only liquid crystal on silicon (LCOS) devices
Zhang, Z., You, Z., & Chu, D. (2014) · Light: Science & Applications · doi:10.1038/lsa.2014.94 · Cited by 519
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview
Chi, Y., Lu, Y. M., & Chen, Y. (2019) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2019.2937282 · Cited by 360
Metadata
- Authors
- Fienup, J. R.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Phase retrieval algorithms: a comparison. https://app.cochat.ai/papers/10.1364/ao.21.002758
- The paper
- Fienup, J. R. (1982). Phase retrieval algorithms: a comparison. Applied Optics. https://doi.org/10.1364/ao.21.002758
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.