BMVC92 pp 187-196 | Cite as

A Step Towards Efficient Bayesian Signal Reconstruction

  • J. W. Dickson
Conference paper

Abstract

This paper presents a theoretical basis for a set of optimal filters for the reconstruction of piecewise-continuous one-dimensional signals, drawing from Bayesian networks and Kaiman filters. Results are presented for synthetic and real data, using both the optimal filters and a sub-optimal implementation. The results compare well with linear space invariant filtering or facet fitting approaches, and present a basis for the design of image restoration algorithms.

Keywords

Covariance Tate Decen 

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Copyright information

© Springer-Verlag London Limited 1992

Authors and Affiliations

  • J. W. Dickson
    • 1
  1. 1.IBM UK Scientific CentreWinchesterEngland

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