Multiple Incoherent Deconvolutions for Improving the Image Resolution of Diffraction‐Limited Imaging Systems Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1002/adpr.202400141
A new method of imaging with enhanced resolution beyond the diffraction limit is proposed and demonstrated. The target is imaged multiple times, each time with a different phase mask on the aperture of the imaging system. Nonlinear Wiener deconvolution (NWD) reconstructs each image according to the corresponding aperture, and as a result, an image of the target with improved resolution is obtained. The relatively high noise level of each resulting image is eliminated by averaging the multiple deconvolution results. NWD is compared to linear Wiener deconvolution with and without different phase masks. System users can tune the number of imaging events as a tradeoff between low noise and high resolution and between low noise and a low number of camera shots.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/adpr.202400141
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adpr.202400141
- OA Status
- gold
- Cited By
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- References
- 48
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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- DOI
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https://doi.org/10.1002/adpr.202400141Digital Object Identifier
- Title
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Multiple Incoherent Deconvolutions for Improving the Image Resolution of Diffraction‐Limited Imaging SystemsWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-03-02Full publication date if available
- Authors
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Jawahar Prabhakar Desai, Vijayakumar Anand, Joseph RosenList of authors in order
- Landing page
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https://doi.org/10.1002/adpr.202400141Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adpr.202400141Direct link to full text PDF
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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://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/adpr.202400141Direct OA link when available
- Concepts
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Resolution (logic), Diffraction, Image (mathematics), Optics, Computer science, Computer vision, Physics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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48Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.new | 1 |
| abstract_inverted_index.the | 9, 30, 33, 45, 55, 75, 96 |
| abstract_inverted_index.each | 22, 41, 68 |
| abstract_inverted_index.high | 64, 108 |
| abstract_inverted_index.mask | 28 |
| abstract_inverted_index.time | 23 |
| abstract_inverted_index.tune | 95 |
| abstract_inverted_index.with | 5, 24, 57, 86 |
| abstract_inverted_index.(NWD) | 39 |
| abstract_inverted_index.image | 42, 53, 70 |
| abstract_inverted_index.level | 66 |
| abstract_inverted_index.limit | 11 |
| abstract_inverted_index.noise | 65, 106, 113 |
| abstract_inverted_index.phase | 27, 90 |
| abstract_inverted_index.users | 93 |
| abstract_inverted_index.System | 92 |
| abstract_inverted_index.Wiener | 37, 84 |
| abstract_inverted_index.beyond | 8 |
| abstract_inverted_index.camera | 119 |
| abstract_inverted_index.events | 100 |
| abstract_inverted_index.imaged | 19 |
| abstract_inverted_index.linear | 83 |
| abstract_inverted_index.masks. | 91 |
| abstract_inverted_index.method | 2 |
| abstract_inverted_index.number | 97, 117 |
| abstract_inverted_index.shots. | 120 |
| abstract_inverted_index.target | 17, 56 |
| abstract_inverted_index.times, | 21 |
| abstract_inverted_index.between | 104, 111 |
| abstract_inverted_index.imaging | 4, 34, 99 |
| abstract_inverted_index.result, | 51 |
| abstract_inverted_index.system. | 35 |
| abstract_inverted_index.without | 88 |
| abstract_inverted_index.aperture | 31 |
| abstract_inverted_index.compared | 81 |
| abstract_inverted_index.enhanced | 6 |
| abstract_inverted_index.improved | 58 |
| abstract_inverted_index.multiple | 20, 76 |
| abstract_inverted_index.proposed | 13 |
| abstract_inverted_index.results. | 78 |
| abstract_inverted_index.tradeoff | 103 |
| abstract_inverted_index.Nonlinear | 36 |
| abstract_inverted_index.according | 43 |
| abstract_inverted_index.aperture, | 47 |
| abstract_inverted_index.averaging | 74 |
| abstract_inverted_index.different | 26, 89 |
| abstract_inverted_index.obtained. | 61 |
| abstract_inverted_index.resulting | 69 |
| abstract_inverted_index.eliminated | 72 |
| abstract_inverted_index.relatively | 63 |
| abstract_inverted_index.resolution | 7, 59, 109 |
| abstract_inverted_index.diffraction | 10 |
| abstract_inverted_index.reconstructs | 40 |
| abstract_inverted_index.corresponding | 46 |
| abstract_inverted_index.deconvolution | 38, 77, 85 |
| abstract_inverted_index.demonstrated. | 15 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.9506898 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |