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

Cheuk L. Chari, James C. Brailean, Aggelos K Katsaggelos, Alan Varteres Sahakian

Research output: Contribution to journalConference article

3 Scopus citations

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 ofthe DVF has applications in temporal filtering, object tracking and frame registration in low-light level image sequences as well as lowdose 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.

Original languageEnglish (US)
Pages (from-to)396-407
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2094
DOIs
StatePublished - Dec 1 1993
EventVisual Communications and Image Processing 1993 - Cambridge, MA, United States
Duration: Nov 7 1993Nov 7 1993

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Maximum a posteriori displacement field estimation in quantum-limited image sequences'. Together they form a unique fingerprint.

  • Cite this