A variational method using fractional order Hilbert spaces for tomographic reconstruction of blurred and noised binary images - Archive ouverte HAL
Article Dans Une Revue Journal of Functional Analysis Année : 2010

A variational method using fractional order Hilbert spaces for tomographic reconstruction of blurred and noised binary images

Résumé

We provide in this article a refined functional analysis of the Radon operator restricted to axisymmetric functions, and show that it enjoys strong regularity properties in fractional order Hilbert spaces. This study is motivated by a problem of tomographic reconstruction of binary axially symmetric ob jects, for which we have available one single blurred and noised snapshot. We propose a variational approach to handle this problem, consisting in solving a minimization problem settled in adapted fractional order Hilbert spaces. We show the existence of solutions, and then derive first order necessary conditions for optimality in the form of optimality systems.
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Dates et versions

hal-00458340 , version 1 (20-02-2010)

Identifiants

  • HAL Id : hal-00458340 , version 1

Citer

Maïtine Bergounioux, Emmanuel Trélat. A variational method using fractional order Hilbert spaces for tomographic reconstruction of blurred and noised binary images. Journal of Functional Analysis, 2010, 259, pp.2296--2332. ⟨hal-00458340⟩
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