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- Publisher Website: 10.1007/s11425-013-4742-6
- Scopus: eid_2-s2.0-84895907798
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Article: A phase model for point spread function estimation in ground-based astronomy
Title | A phase model for point spread function estimation in ground-based astronomy |
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Authors | |
Keywords | phase model astronomical imaging alternating direction method of multipliers tight frame point spread function |
Issue Date | 2013 |
Citation | Science China Mathematics, 2013, v. 56, n. 12, p. 2701-2710 How to Cite? |
Abstract | In ground-based astronomy, images of objects in outer space are acquired via ground-based telescopes. However, the imaging system is generally interfered by atmospheric turbulence and hence images so acquired are blurred with unknown point spread function (PSF). To restore the observed images, aberration of the wavefront at the telescope's aperture, i.e., the phase, is utilized to derive the PSF. However, the phase is not readily available. Instead, its gradients can be collected by wavefront sensors. Thus the usual approach is to use regularization methods to reconstruct high-resolution phase gradients and then use them to recover the phase in high accuracy. Here, we develop a model that reconstructs the phase directly. The proposed model uses the tight frame regularization and it can be solved efficiently by the Douglas-Rachford alternating direction method of multipliers whose convergence has been well established. Numerical results illustrate that our new model is efficient and gives more accurate estimation for the PSF. © 2013 Science China Press and Springer-Verlag Berlin Heidelberg. |
Persistent Identifier | http://hdl.handle.net/10722/251266 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 1.060 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chan, Raymond Honfu | - |
dc.contributor.author | Yuan, Xiao Ming | - |
dc.contributor.author | Zhang, Wen Xing | - |
dc.date.accessioned | 2018-02-01T01:55:04Z | - |
dc.date.available | 2018-02-01T01:55:04Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Science China Mathematics, 2013, v. 56, n. 12, p. 2701-2710 | - |
dc.identifier.issn | 1674-7283 | - |
dc.identifier.uri | http://hdl.handle.net/10722/251266 | - |
dc.description.abstract | In ground-based astronomy, images of objects in outer space are acquired via ground-based telescopes. However, the imaging system is generally interfered by atmospheric turbulence and hence images so acquired are blurred with unknown point spread function (PSF). To restore the observed images, aberration of the wavefront at the telescope's aperture, i.e., the phase, is utilized to derive the PSF. However, the phase is not readily available. Instead, its gradients can be collected by wavefront sensors. Thus the usual approach is to use regularization methods to reconstruct high-resolution phase gradients and then use them to recover the phase in high accuracy. Here, we develop a model that reconstructs the phase directly. The proposed model uses the tight frame regularization and it can be solved efficiently by the Douglas-Rachford alternating direction method of multipliers whose convergence has been well established. Numerical results illustrate that our new model is efficient and gives more accurate estimation for the PSF. © 2013 Science China Press and Springer-Verlag Berlin Heidelberg. | - |
dc.language | eng | - |
dc.relation.ispartof | Science China Mathematics | - |
dc.subject | phase model | - |
dc.subject | astronomical imaging | - |
dc.subject | alternating direction method of multipliers | - |
dc.subject | tight frame | - |
dc.subject | point spread function | - |
dc.title | A phase model for point spread function estimation in ground-based astronomy | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/s11425-013-4742-6 | - |
dc.identifier.scopus | eid_2-s2.0-84895907798 | - |
dc.identifier.volume | 56 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 2701 | - |
dc.identifier.epage | 2710 | - |
dc.identifier.isi | WOS:000328279100016 | - |
dc.identifier.issnl | 1869-1862 | - |