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Article Dans Une Revue Signal Processing Année : 2011

Bandlet Image Estimation with Model Selection

Résumé

To estimate geometrically regular images in the white noise model and obtain an adaptive near asymptotic minimaxity result, we consider a model selection based bandlet estimator. This bandlet estimator combines the best basis selection behaviour of the model selection and the approximation properties of the bandlet dictionary. We derive its near asymptotic minimaxity for geometrically regular images as an example of model selection with general dictionary of orthogonal bases. This paper is thus also a self contained tutorial on model selection with orthogonal bases dictionary.
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Dates et versions

hal-00321965 , version 1 (17-09-2008)
hal-00321965 , version 2 (12-12-2009)

Identifiants

Citer

Charles H Dossal, Erwan Le Pennec, Stéphane Mallat. Bandlet Image Estimation with Model Selection. Signal Processing, 2011, 91 (12), pp.2743-2753. ⟨10.1016/j.sigpro.2011.01.013⟩. ⟨hal-00321965v2⟩
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