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Article: Restoration of color images by multichannel Kalman filtering

TitleRestoration of color images by multichannel Kalman filtering
Authors
KeywordsComputer Simulation
Mathematical Techniques - Matrix Algebra
Optimization
Signal Filtering and Prediction - Kalman Filtering
Issue Date1991
PublisherIEEE
Citation
Ieee Transactions On Signal Processing, 1991, v. 39 n. 10, p. 2237-2252 How to Cite?
AbstractA Kalman filter for optimal restoration of multichannel images is presented. This filter is derived using a multichannel semicausal image model that includes between-channel degradation. Both stationary and nonstationary image models are developed. This filter is implemented in the Fourier domain and computation is reduced from O(Λ3N3M4) to O(Λ3N3M2) for an M × M N-channel image with degradation length Λ. Color (red, green, and blue (RGB)) images are used as examples of multichannel images, and restoration in the RGB and YIQ domains is investigated. Simulations are presented in which the effectiveness of this filter is tested for different types of degradation and different image model estimates.
Persistent Identifierhttp://hdl.handle.net/10722/65538
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.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:15:12Z-
dc.date.available2010-08-31T07:15:12Z-
dc.date.issued1991en_HK
dc.identifier.citationIeee Transactions On Signal Processing, 1991, v. 39 n. 10, p. 2237-2252en_HK
dc.identifier.issn1053-587Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/65538-
dc.description.abstractA Kalman filter for optimal restoration of multichannel images is presented. This filter is derived using a multichannel semicausal image model that includes between-channel degradation. Both stationary and nonstationary image models are developed. This filter is implemented in the Fourier domain and computation is reduced from O(Λ3N3M4) to O(Λ3N3M2) for an M × M N-channel image with degradation length Λ. Color (red, green, and blue (RGB)) images are used as examples of multichannel images, and restoration in the RGB and YIQ domains is investigated. Simulations are presented in which the effectiveness of this filter is tested for different types of degradation and different image model estimates.en_HK
dc.languageengen_HK
dc.publisherIEEEen_HK
dc.relation.ispartofIEEE Transactions on Signal Processingen_HK
dc.subjectComputer Simulationen_HK
dc.subjectMathematical Techniques - Matrix Algebraen_HK
dc.subjectOptimizationen_HK
dc.subjectSignal Filtering and Prediction - Kalman Filteringen_HK
dc.titleRestoration of color images by multichannel Kalman filteringen_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.doi10.1109/78.91179en_HK
dc.identifier.scopuseid_2-s2.0-0026238999en_HK
dc.identifier.volume39en_HK
dc.identifier.issue10en_HK
dc.identifier.spage2237en_HK
dc.identifier.epage2252en_HK
dc.identifier.isiWOS:A1991GG77000009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGalatsanos, Nikolas P=35562970900en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK

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