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Communication Dans Un Congrès Année : 2003

IMAGE AND SIGNAL RESTORATION USING PAIRWISE MARKOV TREES

Emmanuel Monfrini
Jean Lecomte
  • Fonction : Auteur
Wojciech Pieczynski

Résumé

This work deals with the statistical restoration of a hidden signal using Pairwise Markov Trees (PMT). The latter PMT, recently introduced in the case of discrete hidden signal, are here applied to unsupervised image segmentation and it is showed that they work better then the classical Hidden Markov Trees (HMT). Further, considering a PMT in a linear Gaussian model with continuous hidden data, which is new, we give the formulas of an original extension of the classical Kalman filter.
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Dates et versions

hal-04415528 , version 1 (24-01-2024)

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Emmanuel Monfrini, Jean Lecomte, François Desbouvries, Wojciech Pieczynski. IMAGE AND SIGNAL RESTORATION USING PAIRWISE MARKOV TREES. IEEE Workshop on Statistical Signal Processing, 2003, IEEE, Sep 2003, St. Louis, United States. pp.174-177, ⟨10.1109/SSP.2003.1289372⟩. ⟨hal-04415528⟩
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