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Conference Paper: Iterative Wiener filters for image restoration

TitleIterative Wiener filters for image restoration
Authors
KeywordsMathematical Techniques - Iterative Methods
Signal Filtering and Prediction
Issue Date1990
Citation
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1990, v. 4, p. 1901-1904 How to Cite?
AbstractWiener filtering, an iterative procedure which successively uses the Wiener-filtered signal as an improved prototype to update the covariance estimates, is investigated. The convergent properties of this iterative Wiener filter are analyzed. It has been shown that the iterative Wiener filter converges to a fixed point which does not correspond to the true covariance. Based on the analysis presented, an iterative filter is proposed to correct for the convergence error which results in suboptimal performance of the original iterative Wiener filter. The performance of this filter is shown to be theoretically optimal. Experiments are conducted in a practical setting to demonstrate the effectiveness of the proposed methods.
Persistent Identifierhttp://hdl.handle.net/10722/65563
ISSN

 

DC FieldValueLanguage
dc.contributor.authorHillery, Allen Den_HK
dc.contributor.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:16:07Z-
dc.date.available2010-08-31T07:16:07Z-
dc.date.issued1990en_HK
dc.identifier.citationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1990, v. 4, p. 1901-1904en_HK
dc.identifier.issn0736-7791en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65563-
dc.description.abstractWiener filtering, an iterative procedure which successively uses the Wiener-filtered signal as an improved prototype to update the covariance estimates, is investigated. The convergent properties of this iterative Wiener filter are analyzed. It has been shown that the iterative Wiener filter converges to a fixed point which does not correspond to the true covariance. Based on the analysis presented, an iterative filter is proposed to correct for the convergence error which results in suboptimal performance of the original iterative Wiener filter. The performance of this filter is shown to be theoretically optimal. Experiments are conducted in a practical setting to demonstrate the effectiveness of the proposed methods.en_HK
dc.languageengen_HK
dc.relation.ispartofICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedingsen_HK
dc.subjectMathematical Techniques - Iterative Methodsen_HK
dc.subjectSignal Filtering and Predictionen_HK
dc.titleIterative Wiener filters for image restorationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChin, Roland T: rchin@hku.hken_HK
dc.identifier.authorityChin, Roland T=rp01300en_HK
dc.description.naturelink_to_subscribed_fulltexten_HK
dc.identifier.scopuseid_2-s2.0-0025682289en_HK
dc.identifier.volume4en_HK
dc.identifier.spage1901en_HK
dc.identifier.epage1904en_HK
dc.identifier.scopusauthoridHillery, Allen D=7003403093en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK

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