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dc.contributor.authorLin, RSen_US
dc.contributor.authorHsueh, YCen_US
dc.date.accessioned2014-12-08T15:45:59Z-
dc.date.available2014-12-08T15:45:59Z-
dc.date.issued1999-12-01en_US
dc.identifier.issn1047-3203en_US
dc.identifier.urihttp://dx.doi.org/10.1006/jvci.1999.0427en_US
dc.identifier.urihttp://hdl.handle.net/11536/30928-
dc.description.abstractGradient weighted filters are locally adaptive weighted mean filters. In this paper, a general formulation of gradient weighted filters with some characteristic parameters was derived first from existing gradient weighted filters. Then we propose some modifications by varying these parameters. We modify gradient inverse weighted filters, characterize filters into first and second order filters, and propose Pi filters. Moreover, an imposed criterion for second order filters to preserve fine details was introduced to promote the existing gradient weighted filters. Finally, a criterion to combine first and second order filters was proposed to remove noise with mixed types, Throughout this paper, rational analysis and experimental results demonstrate the efficiency of the proposed methods. (C) 1999 Academic Press.en_US
dc.language.isoen_USen_US
dc.subjectgradient weighted filtersen_US
dc.subjectrational filtersen_US
dc.subjectimage smoothingen_US
dc.subjectPi filtersen_US
dc.titleSome modifications of gradient weighted filtersen_US
dc.typeArticleen_US
dc.identifier.doi10.1006/jvci.1999.0427en_US
dc.identifier.journalJOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATIONen_US
dc.citation.volume10en_US
dc.citation.issue4en_US
dc.citation.spage336en_US
dc.citation.epage350en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000084117700003-
dc.citation.woscount1-
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