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Aix-Marseille Université
Institut de Mathématiques de Marseille (I2M) - UMR 7373
Site Saint-Charles : 3 place Victor Hugo, Case 19, 13331 Marseille Cedex 3
Site Luminy : Campus de Luminy - Case 907 - 13288 Marseille Cedex 9

Séminaire

S. Geffray (Unistra\, Strasbourg) at Frumam (St Charles): A statistical solution to an inverse problem of illumination with applications to electron microscopy




Date(s) : 22/11/2013   iCal
14h00 - 15h00

A statistical solution to an inverse problem of illumination with applications to electron microscopy\n\nBy Segolen Geffray\, Unistra\, Université de Strasbourg.\n\nAbstract:\nWe are interested in a multi-dimensional signal denoted by R observed with an illumination artefact inherent in the recording technology. This may be the case with electron microscopy for example.\nThe illumination artefact is modelled by a function L which is « smooth » enough\, in a sense to be precised in the mathematical developments\, and which acts in a multiplicative way on the original signal R.\nWe also assume the presence of an additional additive noise b so that the observed signal denoted by Y is actually linked to the original signal R by the equation:\nY(x)=R(x)L(x)+b(x).\nIn this framework\, our aim consists of reconstructing R from the observation of Y. That is\, we try and solve an inverse problem in which the operator which maps R to (x-> R(x)L(x)) is unknown.\nTo this aim\, we set identifiability conditions and use a regression strategy. We project log (Y) on a suitable closed convex subspace of a Hilbert space so that we get an estimation of log (L) and deduce an estimation of R.\nThe procedure quality is studied through the evaluation of the risk of the estimator of R.\nAt last\, an application to real images is presented.

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