Total Variation Denoising and Support Localization of the Gradient
Chambolle, Antonin; Duval, Vincent; Peyré, Gabriel; Poon, Clarice (2016), Total Variation Denoising and Support Localization of the Gradient, Journal of Physics: Conference Series, Volume 756, 6th International Workshop on New Computational Methods for Inverse Problems 20 May 2016, Cachan, France, Journal of Physics. Conference Series. 10.1088/1742-6596/756/1/012007
Type
Communication / ConférenceDate
2016Conference title
6th International Workshop on New Computational Methods for Inverse ProblemsConference date
2016-05Conference city
CachanConference country
FranceBook title
Journal of Physics: Conference Series, Volume 756, 6th International Workshop on New Computational Methods for Inverse Problems 20 May 2016, Cachan, FrancePublisher
Journal of Physics. Conference Series
Publication identifier
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Show full item recordAuthor(s)
Chambolle, Antonin
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Duval, Vincent

CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Peyré, Gabriel
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Poon, Clarice
Department of Applied Mathematics and Theoretical Physics [Cambridge] [DAMTP]
Abstract (EN)
This paper describes the geometrical properties of the solutions to the total variation denoising method. A folklore statement is that this method is able to restore sharp edges, but at the same time, might introduce some staircasing (i.e. “fake” edges) in flat areas. Quite surprisingly, put aside numerical evidences, almost no theoretical result are available to backup these claims. The first contribution of this paper is a precise mathematical definition of the “extended support” (associated to the noise-free image) of TV denoising. This is intuitively the region which is unstable and will suffer from the staircasing effect. Our main result shows that the TV denoising method indeed restores a piece-wise constant image outside a small tube surrounding the extended support. Furthermore, the radius of this tube shrinks toward zero as the noise level vanishes and in some cases, an upper bound on the convergence rate is given.Related items
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