CENTER WEIGHTED MEDIAN FILTERS AND THEIR APPLICATIONS TO IMAGE-ENHANCEMENT

DC FieldValueLanguage
dc.contributor.authorKO, SJ-
dc.contributor.authorLee, Yong-Hoon-
dc.date.accessioned2009-10-07T01:09:38Z-
dc.date.available2009-10-07T01:09:38Z-
dc.date.created2012-02-06-
dc.date.issued1991-09-
dc.identifier.citationIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, v.38, no.9, pp.984 - 993-
dc.identifier.issn0098-4094-
dc.identifier.urihttp://hdl.handle.net/10203/11675-
dc.description.abstractThe center weighted median (CWM) filter, which is a weighted median filter giving more weight only to the central value of each window, is studied. This filter can preserve image details while suppressing additive white and/or impulsive-type noise. The statistical properties of the CWM filter are analyzed. It is shown that the CWM filter can outperform the median filter. Some relationships between CWM and other median-type filters, such as the Winsorizing smoother and the multistage median filter, are derived. In an attempt to improve the performance of CWM filters, an adaptive CWM (ACWM) filter having a space varying central weight is proposed. We show that the ACWM filter is an excellent detail preserving smoother that can suppress signal-dependent noise as well as signal-independent noise.-
dc.languageENG-
dc.language.isoen_USen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSIGNAL-DEPENDENT NOISE-
dc.subjectRESTORATION-
dc.subjectALGORITHM-
dc.subjectREMOVAL-
dc.titleCENTER WEIGHTED MEDIAN FILTERS AND THEIR APPLICATIONS TO IMAGE-ENHANCEMENT-
dc.typeArticle-
dc.identifier.wosidA1991GC41900002-
dc.identifier.scopusid2-s2.0-0026222410-
dc.type.rimsART-
dc.citation.volume38-
dc.citation.issue9-
dc.citation.beginningpage984-
dc.citation.endingpage993-
dc.citation.publicationnameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS-
dc.contributor.localauthorLee, Yong-Hoon-
dc.contributor.nonIdAuthorKO, SJ-
dc.type.journalArticleArticle-
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EE-Journal Papers(저널논문)
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