Random phase retrieval approach based on difference map using VU factorization Article Swipe
Jiaosheng Li
,
Qinnan Zhang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1364/oe.445698
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1364/oe.445698
In this paper, we proposed a random phase retrieval approach based on two differential interferograms and VU factorization. Firstly, three interferograms with arbitrary phase shifts are subtracted, and then two differential interferograms are obtained. On this basis, the phase related to the matrix is solved via VU factorization and the measured phase is obtained. Compared with the commonly used high-accuracy phase-shifting algorithms, this method does not require long-time iteration and approximate conditions, so there is no requirement for the shape and number of fringes of the interferogram. More importantly, it is an extremely stable and high-accuracy phase-shifting algorithm, which has great advantages for practical applications. Experiments and simulation analysis show that the proposed method is a random phase retrieval approach with good anti-noise and strong applicability.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1364/oe.445698
- OA Status
- gold
- Cited By
- 5
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4200365563
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- OpenAlex ID
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https://openalex.org/W4200365563Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1364/oe.445698Digital Object Identifier
- Title
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Random phase retrieval approach based on difference map using VU factorizationWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-14Full publication date if available
- Authors
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Jiaosheng Li, Qinnan ZhangList of authors in order
- Landing page
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https://doi.org/10.1364/oe.445698Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.1364/oe.445698Direct OA link when available
- Concepts
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Phase retrieval, Factorization, Algorithm, Phase (matter), Computer science, Basis (linear algebra), Differential phase, Noise (video), Optics, Mathematics, Physics, Artificial intelligence, Image (mathematics), Fourier transform, Mathematical analysis, Geometry, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.measured | 50 |
| abstract_inverted_index.proposed | 4, 112 |
| abstract_inverted_index.arbitrary | 22 |
| abstract_inverted_index.extremely | 92 |
| abstract_inverted_index.iteration | 68 |
| abstract_inverted_index.long-time | 67 |
| abstract_inverted_index.obtained. | 33, 53 |
| abstract_inverted_index.practical | 103 |
| abstract_inverted_index.retrieval | 8, 118 |
| abstract_inverted_index.advantages | 101 |
| abstract_inverted_index.algorithm, | 97 |
| abstract_inverted_index.anti-noise | 122 |
| abstract_inverted_index.simulation | 107 |
| abstract_inverted_index.Experiments | 105 |
| abstract_inverted_index.algorithms, | 61 |
| abstract_inverted_index.approximate | 70 |
| abstract_inverted_index.conditions, | 71 |
| abstract_inverted_index.requirement | 76 |
| abstract_inverted_index.subtracted, | 26 |
| abstract_inverted_index.differential | 13, 30 |
| abstract_inverted_index.importantly, | 88 |
| abstract_inverted_index.applications. | 104 |
| abstract_inverted_index.factorization | 47 |
| abstract_inverted_index.high-accuracy | 59, 95 |
| abstract_inverted_index.applicability. | 125 |
| abstract_inverted_index.factorization. | 17 |
| abstract_inverted_index.interferogram. | 86 |
| abstract_inverted_index.interferograms | 14, 20, 31 |
| abstract_inverted_index.phase-shifting | 60, 96 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.63598873 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |