Adaptive Weighted Highpass Filters Using Multiscale Analysis

dc.citation.bibtexNamearticleen_US
dc.citation.firstpage1068en_US
dc.citation.issueNumber7en_US
dc.citation.journalTitleIEEE Transactions on Image Processingen_US
dc.citation.lastpage1074en_US
dc.citation.volumeNumber7en_US
dc.contributor.authorNowak, Robert Daviden_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:56:08Zen_US
dc.date.available2007-10-31T00:56:08Zen_US
dc.date.issued1998-07-01en_US
dc.date.modified2006-06-21en_US
dc.date.submitted2004-01-13en_US
dc.descriptionJournal Paperen_US
dc.description.abstractIn this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the method.en_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationR. D. Nowak and R. G. Baraniuk, "Adaptive Weighted Highpass Filters Using Multiscale Analysis," <i>IEEE Transactions on Image Processing,</i> vol. 7, no. 7, 1998.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/83.701168en_US
dc.identifier.urihttps://hdl.handle.net/1911/20155en_US
dc.language.isoengen_US
dc.subjectTemporaryen_US
dc.subject.keywordTemporaryen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleAdaptive Weighted Highpass Filters Using Multiscale Analysisen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
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