Recursive MAP displacement estimation and restoration of noisy-blurred image sequences

James C. Brailean; Aggelos K. Katsaggelos

doi:10.1117/12.157957

22 October 1993 Recursive MAP displacement estimation and restoration of noisy-blurred image sequences

James C. Brailean, Aggelos K. Katsaggelos

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157957
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

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. Thus, 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 the estimates provided by the other filter. Nonstationary models are used for both the DVF and the intensity field in the proposed estimator, thus avoiding the smoothing of boundaries present in both.

Citation Download Citation

James C. Brailean and Aggelos K. Katsaggelos "Recursive MAP displacement estimation and restoration of noisy-blurred image sequences", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157957

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