Occlusion and nonstationary displacement field estimation in quantum-limited image sequences

Cheuk L. Chan*, James C. Brailean, Aggelos K. Katsaggelos

*Corresponding author for this work

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

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 and areas corresponding to occlusions which are present in the field are taken into account through the introduction of both a line process and an occlusion 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)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages962-973
Number of pages12
Volume2501
Edition2/-
ISBN (Print)0819418587
StatePublished - Jan 1 1995
EventVisual Communications and Image Processing '95 - Taipei, Taiwan
Duration: May 24 1995May 26 1995

Other

OtherVisual Communications and Image Processing '95
CityTaipei, Taiwan
Period5/24/955/26/95

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

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