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Article: Digital restoration of multichannel images.

TitleDigital restoration of multichannel images.
Authors
Galatsanos, Nikolas PChin, Roland T
KeywordsMathematical Transformations--Fourier Transforms
Remote Sensing--Multispectral Scanners
Signal Filtering and Prediction
Signal Processing--Correlation Detectors
Issue Date1989
Citation
Ieee Transactions On Acoustics, Speech, And Signal Processing, 1989, v. 37 n. 3, p. 415-421 How to Cite?
DOI: http://dx.doi.org/10.1109/29.21708
AbstractThe Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization and block-Toeplitz to block-circulant approximation, the inversion of the multichannel, linear space-invariant imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel (spatial) and between-channel (spectral) correlation; hence, the restored result is a better estimate than that produced by independent channel restoration. Simulations are also presented.
Persistent Identifierhttp://hdl.handle.net/10722/65525
ISSN
0096-3518
ISI Accession Number ID
WOS:A1989T335400009

 

DC FieldValueLanguage
dc.contributor.authorGalatsanos, Nikolas Pen_HK
dc.contributor.authorChin, Roland Ten_HK
dc.date.accessioned2010-08-31T07:15:06Z-
dc.date.available2010-08-31T07:15:06Z-
dc.date.issued1989en_HK
dc.identifier.citationIeee Transactions On Acoustics, Speech, And Signal Processing, 1989, v. 37 n. 3, p. 415-421en_HK
dc.identifier.issn0096-3518en_HK
dc.identifier.urihttp://hdl.handle.net/10722/65525-
dc.description.abstractThe Wiener solution of a multichannel restoration scheme is presented. Using matrix diagonalization and block-Toeplitz to block-circulant approximation, the inversion of the multichannel, linear space-invariant imaging system becomes feasible by utilizing a fast iterative matrix inversion procedure. The restoration uses both the within-channel (spatial) and between-channel (spectral) correlation; hence, the restored result is a better estimate than that produced by independent channel restoration. Simulations are also presented.en_HK
dc.languageengen_HK
dc.relation.ispartofIEEE Transactions on Acoustics, Speech, and Signal Processingen_HK
dc.subjectMathematical Transformations--Fourier Transformsen_HK
dc.subjectRemote Sensing--Multispectral Scannersen_HK
dc.subjectSignal Filtering and Predictionen_HK
dc.subjectSignal Processing--Correlation Detectorsen_HK
dc.titleDigital restoration of multichannel images.en_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.doi10.1109/29.21708en_HK
dc.identifier.scopuseid_2-s2.0-0024626318en_HK
dc.identifier.volume37en_HK
dc.identifier.issue3en_HK
dc.identifier.spage415en_HK
dc.identifier.epage421en_HK
dc.identifier.isiWOS:A1989T335400009-
dc.identifier.scopusauthoridGalatsanos, Nikolas P=35562970900en_HK
dc.identifier.scopusauthoridChin, Roland T=7102445426en_HK
dc.identifier.citeulike3286894-
dc.identifier.issnl0096-3518-

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