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Minimum Kurtosis CMA Deconvolution for Blind Image Restoration

Samarasinghe, Pradeepa; Kennedy, Rodney

Description

A critical assumption in applying Godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their implementations on this assumption. To our knowledge, no research has been done on the effect of source correlation on adaptive blind deblurring of images through CMA, and this paper addresses that gap, coming up with a novel model of addressing the source correlation problem in...[Show more]

dc.contributor.authorSamarasinghe, Pradeepa
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialColombo Sri Lanka
dc.date.accessioned2015-12-10T22:22:16Z
dc.date.createdDecember 11-14 2008
dc.identifier.isbn9781424428991
dc.identifier.urihttp://hdl.handle.net/1885/52597
dc.description.abstractA critical assumption in applying Godard CMA algorithm for blind deconvolution and equalization is the assumption of an independently distributed source. Almost all the applications in the literature have based their implementations on this assumption. To our knowledge, no research has been done on the effect of source correlation on adaptive blind deblurring of images through CMA, and this paper addresses that gap, coming up with a novel model of addressing the source correlation problem in the image deblurring through CMA.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Conference on Information and Automation for Sustainability (ICIAFS 2008)
dc.sourceProceedings of the International Conference on Information and Automation for Sustainability (ICIAFS 2008)
dc.subjectKeywords: Blind deconvolution; Blind image Restoration; CMA; Constant modulus Algorithm; Godard algorithm; Kurtosis; Algorithms; Convolution; Deconvolution; Image reconstruction; Imaging systems; Restoration; Sustainable development; Blind equalization Blind deconvolution; Blind equalization; Blind image Restoration; CMA; Constant modulus Algorithm; Godard algorithm; Image processing; Kurtosis
dc.titleMinimum Kurtosis CMA Deconvolution for Blind Image Restoration
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2009
local.identifier.absfor080106 - Image Processing
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu4334215xPUB250
local.type.statusPublished Version
local.contributor.affiliationSamarasinghe, Pradeepa, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage271
local.bibliographicCitation.lastpage276
local.identifier.doi10.1109/ICIAFS.2008.4783974
dc.date.updated2016-02-24T10:59:26Z
local.identifier.scopusID2-s2.0-64049085048
CollectionsANU Research Publications

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