HEAL DSpace

Fast adaptive identification and restoration of images degraded by blur and noise

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dc.contributor.author Kollias, Stefanos en
dc.contributor.author Boutalis, Yiannis en
dc.contributor.author Carayannis, George en
dc.date.accessioned 2014-03-01T02:40:52Z
dc.date.available 2014-03-01T02:40:52Z
dc.date.issued 1988 en
dc.identifier.issn 02714310 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30258
dc.subject Image Modeling en
dc.subject Image Restoration en
dc.subject Parameter Estimation en
dc.subject State Space en
dc.subject kalman filter en
dc.subject.other Control Systems, Adaptive--Identification en
dc.subject.other Signal Filtering and Prediction--Kalman Filtering en
dc.subject.other Adaptive Identification en
dc.subject.other Adaptive Restoration en
dc.subject.other Image Blurs en
dc.subject.other Image Restoration en
dc.subject.other Image Processing en
dc.title Fast adaptive identification and restoration of images degraded by blur and noise en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISCAS.1988.15349 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISCAS.1988.15349 en
heal.publicationDate 1988 en
heal.abstract A fast efficient technique for adaptive restoration and identification of images corrupted by noise and causal or noncausal blurs is presented. The method is based on the appropriate interweaving of a fast multichannel adaptive scheme for parameter estimation and on Kalman filtering of an equivalent state-space formulation of the image. This formulation, which uses a slightly augmented state vector, permits image restoration to include deconvolution. A combined adaptive scheme is thus proposed for the simultaneous estimation of image model and blur parameters and restoration of the degraded image pixels. Experimental results which illustrate the performance of the method are given. en
heal.publisher Publ by IEEE, Piscataway, NJ, United States en
heal.journalName Proceedings - IEEE International Symposium on Circuits and Systems en
dc.identifier.doi 10.1109/ISCAS.1988.15349 en
dc.identifier.volume 3 en
dc.identifier.spage 2073 en
dc.identifier.epage 2076 en


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