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Conference Paper: Iterative methods for phase diversity-based blind deconvolution in atmospheric optics

TitleIterative methods for phase diversity-based blind deconvolution in atmospheric optics
Authors
Kwan, Wilson C.Ng, Michael K.
Issue Date1999
Citation
IEEE International Conference on Image Processing, 1999, v. 1, p. 198-200 How to Cite?
DOI: http://dx.doi.org/10.1109/ICIP.1999.821596
AbstractIn this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.
Persistent Identifierhttp://hdl.handle.net/10722/276537

 

DC FieldValueLanguage
dc.contributor.authorKwan, Wilson C.-
dc.contributor.authorNg, Michael K.-
dc.date.accessioned2019-09-18T08:33:55Z-
dc.date.available2019-09-18T08:33:55Z-
dc.date.issued1999-
dc.identifier.citationIEEE International Conference on Image Processing, 1999, v. 1, p. 198-200-
dc.identifier.urihttp://hdl.handle.net/10722/276537-
dc.description.abstractIn this paper, we deals with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Image Processing-
dc.titleIterative methods for phase diversity-based blind deconvolution in atmospheric optics-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICIP.1999.821596-
dc.identifier.scopuseid_2-s2.0-0033343291-
dc.identifier.volume1-
dc.identifier.spage198-
dc.identifier.epage200-

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