RM L-filters in wavelet domain for image processing applications

Jose Luis Varela-Benitez, Francisco Gallegos-Funes, Volodymyr Ponomaryov, Jose Manuel De La Rosa Vazquez

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

Abstract

In this paper we present the capability features of the RM L-filter in the wavelet domain for the removal of impulsive and multiplicative noise in image processing applications. The proposed filter uses the robust RM-estimator in the filtering scheme of L-filter. Extensive simulation results have demonstrated that the proposed filter consistently outperforms other filters by balancing the tradeoff between noise suppression and detail preservation.

Original languageEnglish
Title of host publicationProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
PublisherIEEE Computer Society
Pages113-120
Number of pages8
ISBN (Print)9780769531243
DOIs
StatePublished - 2007
Event2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007 - Aguascalientes, Mexico
Duration: 4 Nov 200710 Nov 2007

Publication series

NameProceedings - 2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007

Conference

Conference2007 6th Mexican International Conference on Artificial Intelligence, Special Session, MICAI 2007
Country/TerritoryMexico
CityAguascalientes
Period4/11/0710/11/07

Fingerprint

Dive into the research topics of 'RM L-filters in wavelet domain for image processing applications'. Together they form a unique fingerprint.

Cite this