PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Some aspects of statistical image modelling and restoration
Mike Titterington
In: Phystat05, 12-15 September 2005, Oxford, Englamd.

Abstract

A review is provided of some ways in which statistical ideas have influenced research into image analysis, in particular the problems involved in making inferences about the true scene and any parameters in the underlying model. The emphasis will be on the application of general statistical paradigms such as maximum likelihood, implemented using tools such as the EM algorithm, and Bayes' Theorem. The resulting procedures can be regarded as particular recipes for regularisation or deconvolution, according to the context.

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EPrint Type:Conference or Workshop Item (Invited Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1261
Deposited By:Mike Titterington
Deposited On:28 November 2005