DanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streams Article Swipe
Spencer Bialek
,
E. Bertin
,
S. Fabbro
,
H. Bouy
,
Jean‐Pierre Rivet
,
Olivier Lai
,
Jean‐Charles Cuillandre
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae1018
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stae1018
We introduce a novel technique to mitigate the adverse effects of atmospheric turbulence on astronomical imaging. Utilizing a video-to-image neural network trained on simulated data, our method processes a sliding sequence of short-exposure (∼0.2 s) stellar field images to reconstruct an image devoid of both turbulence and noise. We demonstrate the method with simulated and observed stellar fields, and show that the brief exposure sequence allows the network to accurately associate speckles to their originating stars and effectively disentangle light from adjacent sources across a range of seeing conditions, all while preserving flux to a lower signal-to-noise ratio than an average stack. This approach results in a marked improvement in angular resolution without compromising the astrometric stability of the final image.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/mnras/stae1018
- https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1018/57287129/stae1018.pdf
- OA Status
- gold
- Cited By
- 4
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394975215
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4394975215Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/mnras/stae1018Digital Object Identifier
- Title
-
DanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streamsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-19Full publication date if available
- Authors
-
Spencer Bialek, E. Bertin, S. Fabbro, H. Bouy, Jean‐Pierre Rivet, Olivier Lai, Jean‐Charles CuillandreList of authors in order
- Landing page
-
https://doi.org/10.1093/mnras/stae1018Publisher landing page
- PDF URL
-
https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1018/57287129/stae1018.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stae1018/57287129/stae1018.pdfDirect OA link when available
- Concepts
-
Physics, Stars, Turbulence, Speckle imaging, Noise (video), Angular resolution (graph drawing), Speckle pattern, Field (mathematics), Remote sensing, Astrophysics, Image (mathematics), Optics, Artificial intelligence, Meteorology, Computer science, Mathematics, Geology, Pure mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
46Number 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.(∼0.2 | 34 |
| abstract_inverted_index.adverse | 9 |
| abstract_inverted_index.angular | 111 |
| abstract_inverted_index.average | 101 |
| abstract_inverted_index.effects | 10 |
| abstract_inverted_index.fields, | 58 |
| abstract_inverted_index.network | 21, 68 |
| abstract_inverted_index.results | 105 |
| abstract_inverted_index.sliding | 30 |
| abstract_inverted_index.sources | 83 |
| abstract_inverted_index.stellar | 36, 57 |
| abstract_inverted_index.trained | 22 |
| abstract_inverted_index.without | 113 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.adjacent | 82 |
| abstract_inverted_index.approach | 104 |
| abstract_inverted_index.exposure | 64 |
| abstract_inverted_index.imaging. | 16 |
| abstract_inverted_index.mitigate | 7 |
| abstract_inverted_index.observed | 56 |
| abstract_inverted_index.sequence | 31, 65 |
| abstract_inverted_index.speckles | 72 |
| abstract_inverted_index.Utilizing | 17 |
| abstract_inverted_index.associate | 71 |
| abstract_inverted_index.introduce | 2 |
| abstract_inverted_index.processes | 28 |
| abstract_inverted_index.simulated | 24, 54 |
| abstract_inverted_index.stability | 117 |
| abstract_inverted_index.technique | 5 |
| abstract_inverted_index.accurately | 70 |
| abstract_inverted_index.preserving | 92 |
| abstract_inverted_index.resolution | 112 |
| abstract_inverted_index.turbulence | 13, 46 |
| abstract_inverted_index.astrometric | 116 |
| abstract_inverted_index.atmospheric | 12 |
| abstract_inverted_index.conditions, | 89 |
| abstract_inverted_index.demonstrate | 50 |
| abstract_inverted_index.disentangle | 79 |
| abstract_inverted_index.effectively | 78 |
| abstract_inverted_index.improvement | 109 |
| abstract_inverted_index.originating | 75 |
| abstract_inverted_index.reconstruct | 40 |
| abstract_inverted_index.astronomical | 15 |
| abstract_inverted_index.compromising | 114 |
| abstract_inverted_index.short-exposure | 33 |
| abstract_inverted_index.video-to-image | 19 |
| abstract_inverted_index.signal-to-noise | 97 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.84239469 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |