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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/44693
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dc.contributor.authorNewland, C.-
dc.contributor.authorGray, D.-
dc.contributor.authorGibbins, D.-
dc.contributor.editorde Figueiredo, R.-
dc.date.issued2007-
dc.identifier.citationProceedings of the 9th IASTED International Conference on Signal and Image Processing / R.J.P. de Figueiredo (ed.):pp.58-63-
dc.identifier.isbn9780889866751-
dc.identifier.urihttp://hdl.handle.net/2440/44693-
dc.description.abstractVideo super-resolution is the process of estimating a highresolution image from a motion sequence of low-resolution image frames. This paper examines the convergence properties of the modified Kalman filter super-resolution algorithm introduced in [1]. Most significantly, the ratio of the system and measurement noise variances is shown to be a highly useful control parameter of the convergence rate, super-resolution image sharpness, and the algorithm's behaviour in the presence of noise.-
dc.description.urihttp://www.actapress.com/Abstract.aspx?paperId=31042-
dc.language.isoen-
dc.publisherIASTED-
dc.titleModified Kalman filtering filtering for image super-resolution: experimental convergence results-
dc.typeConference paper-
dc.contributor.conferenceSignal and Image Processing (9th : 2007 : Honolulu, Hawaii, USA)-
dc.publisher.placeCDROM-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 6
Electrical and Electronic Engineering publications

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