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: Contribution to conferencePaperpeer-review

192 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)
Pages384-387
Number of pages4
StatePublished - 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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