Maximum a posteriori displacement field estimation in quantum-limited image sequences

Cheuk L. Chan; James C. Brailean; Aggelos K. Katsaggelos; Alan V. Sahakian

doi:10.1117/12.157958

22 October 1993 Maximum a posteriori displacement field estimation in quantum-limited image sequences

Cheuk L. Chan, James C. Brailean, Aggelos K. Katsaggelos, Alan V. Sahakian

Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157958
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

In this paper, we develop an algorithm for obtaining the maximum a posteriori (MAP) estimate of the displacement vector field (DVF) from two consecutive image frames of an image sequence acquired under quantum-limited conditions. The estimation of the DVF has applications in temporal filtering, object tracking, and frame registration in low-light level image sequences as well as low-dose clinical x-ray image sequences. The quantum-limited effect is modeled as an undesirable, Poisson-distributed, signal-dependent noise artifact. The specification of priors for the DVF allows a smoothness constraint for the vector field. In addition, discontinuities of the field are taken into account through the introduction of a line process for neighboring vectors. A Bayesian formulation is used in this paper to estimate the DVF and a block component algorithm is employed in obtaining a solution. Several experiments involving a phantom sequence show the effectiveness of this estimator in obtaining the DVF under severe quantum noise conditions.

Citation Download Citation

Cheuk L. Chan, James C. Brailean, Aggelos K. Katsaggelos, and Alan V. Sahakian "Maximum a posteriori displacement field estimation in quantum-limited image sequences", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157958

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