On the Choice of the Regularization Parameter: The Case of Binary Images in the Bayesian Restoration Framework

We study the problem of the influence and of the choice of the regularization parameter β in the Bayesian image restoration framework. Binary and geometrically regular images are examined. The noise degradation process which leads to the observed record can be either additive Gaussian or a binary sy...

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Veröffentlicht in:	Lecture notes-monograph series 1991-01, Vol.20, p.55-77
Hauptverfasser:	J. M. Dinten, X. Guyon, Yao, J. F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Channel noise Data smoothing Error rates Estimation methods Geometric shapes Graphics Image reconstruction Low noise Pixels
Online-Zugang:	Volltext
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