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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

Mean Square Error Kalman Filter Point Spread Function Optimal Filter Bayesian Theory 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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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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