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A full-plane block Kalman filter for image restoration

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dc.contributor.authorCitrin, Stuart, author
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:43:35Z
dc.date.available2007-01-03T04:43:35Z
dc.date.issued1992
dc.description.abstractA new two-dimensional (2-D) block Kalman filtering method is presented which uses a full-plane image model to generate a more accurate filtered estimate of an image that has been corrupted by additive noise and full-plane blur. Causality is maintained within the filtering process by employing multiple concurrent block estimators. In addition, true state dynamics are preserved, resulting in an accurate Kalman gain matrix. Simulation results on a test image corrupted by additive white Gaussian noise are presented for various image models and compared to those of the previous block Kalman filtering methods.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationCitrin, Stuart and Mahmood R. Azimi-Sadjadi, A Full-Plane Block Kalman Filter for Image Restoration, IEEE Transactions on Image Processing 1, no. 4 (October 1992): 488-495.
dc.identifier.urihttp://hdl.handle.net/10217/847
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1992 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjecttwo-dimensional digital filters
dc.subjectimage reconstruction
dc.subjectKalman filters
dc.subjectfiltering and prediction theory
dc.titleA full-plane block Kalman filter for image restoration
dc.typeText

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