A discontinuous finite element method for image denoising

  • Zhaozhong Wang*
  • , Feihu Qi
  • , Fugen Zhou
  • *Corresponding author for this work

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

Abstract

Discontinuous finite element methods are powerful mathematical tools for solving partial differential equations with discontinuous solutions. In this paper such a method is presented to denoise digital images, while preserving discontinuous image patterns like edges and corners. This method is theoretically superior to the commonly used anisotropic diffusion approach in many aspects such as convergence and robustness. Denoising experiments are provided to demonstrate the effectiveness of this method.

Original languageEnglish
Title of host publicationImage Analysis and Recognition - Third International Conference, ICIAR 2006, Proceedings
PublisherSpringer Verlag
Pages116-125
Number of pages10
ISBN (Print)3540448918, 9783540448914
DOIs
StatePublished - 2006
Event3rd International Conference on Image Analysis and Recognition, ICIAR 2006 - Povoa de Varzim, Portugal
Duration: 18 Sep 200620 Sep 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4141 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Image Analysis and Recognition, ICIAR 2006
Country/TerritoryPortugal
CityPovoa de Varzim
Period18/09/0620/09/06

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