Inpainting by flexible haar-wavelet shrinkage

R. H. CHAN, S. SETZER, G. STEIDL

Research output: Journal PublicationsJournal Article (refereed)peer-review

22 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)273-293
Number of pages21
JournalSIAM Journal on Imaging Sciences
Volume1
Issue number3
DOIs
Publication statusPublished - Jan 2008
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2008 Society for Industrial and Applied Mathematics and by SIAM.

Keywords

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

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