Inpainting by flexible haar-wavelet shrinkage

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

21 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)273-293
Journal / PublicationSIAM Journal on Imaging Sciences
Volume1
Issue number3
Online published4 Sep 2008
Publication statusPublished - 2008
Externally publishedYes

Abstract

We present novel wavelet-based inpainting algorithms. Applying ideas from anisotropic regularization and diffusion, our models can better handle degraded pixels at edges. We interpret our algorithms within the framework of forward-backward splitting methods in convex analysis and prove that the conditions for ensuring their convergence are fulfilled. Numerical examples illustrate the good performance of our algorithms.

Research Area(s)

  • Anisotropic methods, Forward-backward algorithm, Image inpainting, Wavelet shrinkage

Citation Format(s)

Inpainting by flexible haar-wavelet shrinkage. / Chan, R. H.; Setzer, S.; Steidl, G.

In: SIAM Journal on Imaging Sciences, Vol. 1, No. 3, 2008, p. 273-293.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review