Modified Kalman filtering filtering for image super-resolution: experimental convergence results

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dc.contributor.authorNewland, C.
dc.contributor.authorGray, D.
dc.contributor.authorGibbins, D.
dc.contributor.conferenceSignal and Image Processing (9th : 2007 : Honolulu, Hawaii, USA)
dc.contributor.editorde Figueiredo, R.
dc.date.issued2007
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.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.language.isoen
dc.publisherIASTED
dc.publisher.placeCDROM
dc.titleModified Kalman filtering filtering for image super-resolution: experimental convergence results
dc.typeConference paper
pubs.publication-statusPublished

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