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dc.contributor.authorNowak, Robert David
Baraniuk, Richard G.
dc.creatorNowak, Robert David
Baraniuk, Richard G. 2007-10-31T00:56:08Z 2007-10-31T00:56:08Z 1998-07-01 2004-01-13
dc.description Journal Paper
dc.description.abstract In 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.
dc.description.sponsorship Office of Naval Research
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subject.otherWavelet based Signal/Image Processing
dc.title Adaptive Weighted Highpass Filters Using Multiscale Analysis
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Image Processing 2006-06-21
dc.contributor.orgDigital Signal Processing (
dc.citation.volumeNumber 7
dc.citation.issueNumber 7
dc.type.dcmi Text
dc.type.dcmi Text
dc.citation.firstpage 1068
dc.citation.lastpage 1074
dc.identifier.citation R. D. Nowak and R. G. Baraniuk, "Adaptive Weighted Highpass Filters Using Multiscale Analysis," IEEE Transactions on Image Processing, vol. 7, no. 7, 1998.

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  • ECE Publications [1089]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.

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