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Article Dans Une Revue Electronic Transactions on Numerical Analysis Année : 2018

A conditional gradient method for primal-dual total variation-based image denoising

Résumé

In this paper, we consider the problem of image denoising by total variation regularization. We combine the conditional gradient method with the total variation regularization in the dual formulation to derive a new method for denoising images. The convergence of this method is proved. Some numerical examples are given to illustrate the effectiveness of the proposed method.

Dates et versions

hal-04359447 , version 1 (21-12-2023)

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Citer

Abdeslem Hafid Bentbib, Karim Kreit, Abderrahman Bouhamidi. A conditional gradient method for primal-dual total variation-based image denoising. Electronic Transactions on Numerical Analysis, 2018, 48, pp.310-328. ⟨10.1553/etna_vol48s310⟩. ⟨hal-04359447⟩
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