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Pré-Publication, Document De Travail Année : 2009

Total Variation Projection with First Order Schemes

Résumé

This article proposes a new algorithm to compute the projection on the set of images whose total variation is bounded by a constant. The projection is computed through a dual formulation that is solved by first order non-smooth optimization methods. This yields an iterative algorithm that computes iterative soft thresholding of the dual vector fields. This projection algorithm can then be used as a building block in a variety of applications such as solving inverse problems under a total variation constraint, or for texture synthesis. Numerical results show that our algorithm competes favorably with state-of-the-art TV projection methods to solve denoising, texture synthesis, inpainting and deconvolution problems.
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Dates et versions

hal-00380491 , version 1 (01-05-2009)
hal-00380491 , version 2 (06-05-2009)
hal-00380491 , version 3 (11-05-2009)

Identifiants

  • HAL Id : hal-00380491 , version 1

Citer

Jalal M. Fadili, Gabriel Peyré. Total Variation Projection with First Order Schemes. 2009. ⟨hal-00380491v1⟩
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