Journal of Mathematical Imaging and Vision

, Volume 20, Issue 1, pp 89–97

An Algorithm for Total Variation Minimization and Applications


  • Antonin Chambolle
    • CEREMADE–CNRS UMR 7534Université de Paris-Dauphine

DOI: 10.1023/B:JMIV.0000011325.36760.1e

Cite this article as:
Chambolle, A. Journal of Mathematical Imaging and Vision (2004) 20: 89. doi:10.1023/B:JMIV.0000011325.36760.1e


We propose an algorithm for minimizing the total variation of an image, and provide a proof of convergence. We show applications to image denoising, zooming, and the computation of the mean curvature motion of interfaces.

total variationimage reconstructiondenoisingzoomingmean curvature motion
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© Kluwer Academic Publishers 2004