Numericalmethods and applications in total variation image restoration

Raymond Chan*, Tony Chan, Andy Yip

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Since their introduction in a classic paper by Rudin, Osher, and Fatemi (Physica D 60:259–268, 1992), total variation minimizing models have become one of the most popular and successful methodologies for image restoration. New developments continue to expand the capability of the basic method in various aspects. Many faster numerical algorithms and more sophisticated applications have been proposed. This chapter reviews some of these recent developments.

Original languageEnglish (US)
Title of host publicationHandbook of Mathematical Methods in Imaging
Subtitle of host publicationVolume 1, Second Edition
PublisherSpringer New York
Pages1501-1537
Number of pages37
ISBN (Electronic)9781493907908
ISBN (Print)9781493907892
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Mathematics(all)
  • Computer Science(all)
  • Engineering(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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