Total variation image restoration: Overview and recent developments

T. Chan, S. Esedoglu, F. Park, A. Yip

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

103 Scopus citations

Abstract

Since their introduction in a classic paper by Rudin, Osher and Fatemi [695], total variation minimizing models have become one of the most popular and successful methodology for image restoration. More recently, there has been a resurgence of interest and exciting new developments, some extending the applicabilities to impainting, blind deconvolution and vector-valued images, while others offer improvements in better preservation of contrast, geometry and textures, in ameliorating the staircasing effect, and in exploiting the multiscale nature of the models. In addition, new computational methods have been proposed with improved computational speed and robustness. We shall review some of these recent developments.

Original languageEnglish (US)
Title of host publicationHandbook of Mathematical Models in Computer Vision
PublisherSpringer US
Pages17-31
Number of pages15
ISBN (Print)0387263713, 9780387263717
DOIs
StatePublished - Dec 1 2006
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

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