Total variation image restoration: Numerical methods and extensions

Peter Blomgren*, Tony F. Chan, Pep Mulet, C. K. Wong

*Corresponding author for this work

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

151 Scopus citations

Abstract

We describe some numerical techniques for the Total Variation image restoration method, namely a primal-dual linearization for the Euler-Lagrange equations and some preconditioning issues. We also highlight extension of this technique to color images, blind deconvolution and the staircasing effect.

Original languageEnglish (US)
Title of host publicationTotal variation image restoration
Pages384-387
Number of pages4
StatePublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3) - Santa Barbara, CA, USA
Duration: Oct 26 1997Oct 29 1997

Conference

ConferenceProceedings of the 1997 International Conference on Image Processing. Part 2 (of 3)
CitySanta Barbara, CA, USA
Period10/26/9710/29/97

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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