A variant beltrami flow for multiplicative noise removal

  • Fang Li*
  • , Ruihua Liu
  • *Corresponding author for this work

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

Abstract

In this paper, we propose a new diffusion approach for multiplicative noise removal. The diffusion is driven by two terms. One is the regularization term which comes from the Beltrami flow, the other is the fidelity term inspired by the Aubert-Aujol (AA) model. The two terms are balanced by a weight parameter. In order to overcome the difficulty in choosing the best weight, we derive an automatic scheme. Numerical results show that the proposed method preserves edges better than the scalar AA model while smoothing out the multiplicative noise.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Pages237-241
Number of pages5
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 - Shanghai, China
Duration: 10 Jun 201112 Jun 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Volume2

Conference

Conference2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Country/TerritoryChina
CityShanghai
Period10/06/1112/06/11

Keywords

  • AA model
  • Beltrami flow
  • SNR
  • multiplicative noise

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