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Article: Least squares restoration of multichannel images

TitleLeast squares restoration of multichannel images
Authors
KeywordsMathematical Techniques - Least Squares Approximations
Mathematical Techniques - Operators
Optimization
Signal Filtering and Prediction
Issue Date1991
PublisherIEEE
Citation
Ieee Transactions On Signal Processing, 1991, v. 39 n. 10, p. 2222-2236 How to Cite?
AbstractMultichannel restoration using both within- and between-channel deterministic information is considered. A multichannel image is a set of image planes that exhibit cross-plane similarity. Existing optimal restoration filters for single-plane images yield suboptimal results when applied to multichannel images, since between-channel information is not utilized. Multichannel least squares restoration filters are developed using the set theoretic and the constrained optimization approaches. A geometric interpretation of the estimates of both filters is given. Color images (three-channel imagery with red, green, and blue components) are considered. Constraints that capture the within- and between-channel properties of color images are developed. Issues associated with the computation of the two estimates are addressed. A spatially adaptive, multichannel least squares filter that utilizes local within- and between-channel image properties is proposed. Experiments using color images are described.
Persistent Identifierhttp://hdl.handle.net/10722/65514
ISSN
2015 Impact Factor: 2.624
2015 SCImago Journal Rankings: 2.004
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGalatsanos, Nikolas Pen_HK
dc.contributor.authorKatsaggelos, Aggelos Ken_HK
dc.contributor.authorChin, Roland Ten_HK
dc.contributor.authorHillery, Allen Den_HK
dc.date.accessioned2010-08-31T07:14:57Z-
dc.date.available2010-08-31T07:14:57Z-
dc.date.issued1991en_HK
dc.identifier.citationIeee Transactions On Signal Processing, 1991, v. 39 n. 10, p. 2222-2236en_HK
dc.identifier.issn1053-587Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/65514-
dc.description.abstractMultichannel restoration using both within- and between-channel deterministic information is considered. A multichannel image is a set of image planes that exhibit cross-plane similarity. Existing optimal restoration filters for single-plane images yield suboptimal results when applied to multichannel images, since between-channel information is not utilized. Multichannel least squares restoration filters are developed using the set theoretic and the constrained optimization approaches. A geometric interpretation of the estimates of both filters is given. Color images (three-channel imagery with red, green, and blue components) are considered. Constraints that capture the within- and between-channel properties of color images are developed. Issues associated with the computation of the two estimates are addressed. A spatially adaptive, multichannel least squares filter that utilizes local within- and between-channel image properties is proposed. Experiments using color images are described.en_HK
dc.languageengen_HK
dc.publisherIEEEen_HK
dc.relation.ispartofIEEE Transactions on Signal Processingen_HK
dc.subjectMathematical Techniques - Least Squares Approximationsen_HK
dc.subjectMathematical Techniques - Operatorsen_HK
dc.subjectOptimizationen_HK
dc.subjectSignal Filtering and Predictionen_HK
dc.titleLeast squares restoration of multichannel imagesen_HK
dc.typeArticleen_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.doi10.1109/78.91180en_HK
dc.identifier.scopuseid_2-s2.0-0026239186en_HK
dc.identifier.volume39en_HK
dc.identifier.issue10en_HK
dc.identifier.spage2222en_HK
dc.identifier.epage2236en_HK
dc.identifier.isiWOS:A1991GG77000008-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGalatsanos, Nikolas P=35562970900en_HK
dc.identifier.scopusauthoridKatsaggelos, Aggelos K=7102711302en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK
dc.identifier.scopusauthoridHillery, Allen D=7003403093en_HK
dc.identifier.citeulike3286872-

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