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Neural network decision directed edge-adaptive Kalman filter for image estimation

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dc.contributor.authorYu, Xi, author
dc.contributor.authorXiao, Rongrui, 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.issued1999
dc.description.abstractA neural network-based scheme for decision directed edge-adaptive Kalman filtering is introduced in this work. A backpropagation neural network makes the decisions about the orientation of the edges based on the information in a window centered at the current pixel being processed. Then based upon the neural network output an appropriate image model which closely matches the local statistics of the image is chosen for the Kalman filter. This prevents the oversmoothing of the edges, which would have otherwise been caused by the standard Kalman filter. Simulation results are presented which show the effectiveness of the proposed scheme.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationAzimi-Sadjadi, Mahmood R., Rongrui Xizo, and Xi Yu, Neural Network Decision Directed Edge-Adaptive Kalman Filter for Image Estimation, IEEE Transactions on Image Processing 8, no. 4 (April 1999): 589-592.
dc.identifier.urihttp://hdl.handle.net/10217/849
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1999 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.subjectimage restoration
dc.subjectneural networks
dc.subject.lcshKalman filtering
dc.titleNeural network decision directed edge-adaptive Kalman filter for image estimation
dc.typeText

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