Simultaneous recursive displacement estimation and restoration of image sequences

James C. Brailean, Aggelos K Katsaggelos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, we develop a recursive model-based maximum a posteriori (MAP) estimator that simultaneously estimates the displacement vector field (DVF) and intensity field from a noisy-blurred image sequence. Current motion-compensated spatio-temporal filters treat the estimation of the DVF as a preprocessing step. Thereby, no attempt is made to verify the accuracy of these estimates prior to their use in the filter. By simultaneously estimating these two fields, information is made available to each filter regarding the reliability of estimates that they are dependent upon. Nonstationary models are used for the DVF and the intensity field in the proposed estimator, thus avoiding the smoothing of boundaries present in both. Experimental results are provided which show the effectiveness of the proposed recursive model-based MAP estimator.

Original languageEnglish (US)
Title of host publication1992 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publicationEmergent Innovations in Information Transfer Processing and Decision Making, SMC 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1574-1579
Number of pages6
ISBN (Electronic)0780307208, 9780780307209
DOIs
StatePublished - Jan 1 1992
EventIEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 - Chicago, United States
Duration: Oct 18 1992Oct 21 1992

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume1992-January
ISSN (Print)1062-922X

Other

OtherIEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
Country/TerritoryUnited States
CityChicago
Period10/18/9210/21/92

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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