Nonlinear Processing of a Shift Invariant DWT for Noise Reduction

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameSPIE Symp. OE/Aerospace Sensing and Dual Use Photonics, Algorithm for Synthetic Aperture Radar Imageen_US
dc.citation.locationOrlando, FLen_US
dc.contributor.authorLang, Markusen_US
dc.contributor.authorGuo, Haitaoen_US
dc.contributor.authorOdegard, Jan E.en_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.authorWells, R.O.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.contributor.orgCML (http://cml.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:50:59Zen_US
dc.date.available2007-10-31T00:50:59Zen_US
dc.date.issued1995-04-20en_US
dc.date.modified2002-09-23en_US
dc.date.note2002-09-23en_US
dc.date.submitted1995-04-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractA novel approach for noise reduction is presented. Similar to Donoho, we employ thresholding in some wavelet transform domain but use a nondecimated and consequently redundant wavelet transform instead of the usual orthogonal one. Another difference is the shift invariance as opposed to the traditional orthogonal wavelet transform. We show that this new approach can be interpreted as a repeated application of Donoho's original method. The main feature is, however, a dramatically improved noise reduction compared to Donoho's approach, both in terms of the <b><i>l<sub>2</sub></i></b> error and visually, for a large class of signals. This is shown by theoretical and experimental results, including synthetic aperture radar (SAR) images.en_US
dc.identifier.citationM. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells, "Nonlinear Processing of a Shift Invariant DWT for Noise Reduction," 1995.en_US
dc.identifier.doihttp://dx.doi.org/10.1117/12.205427en_US
dc.identifier.urihttps://hdl.handle.net/1911/20046en_US
dc.language.isoengen_US
dc.subjectnoise reductionen_US
dc.subjectshift invarianceen_US
dc.subjectredundancyen_US
dc.subjectwavelet transformen_US
dc.subjectSARen_US
dc.subject.keywordnoise reductionen_US
dc.subject.keywordshift invarianceen_US
dc.subject.keywordredundancyen_US
dc.subject.keywordwavelet transformen_US
dc.subject.keywordSARen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleNonlinear Processing of a Shift Invariant DWT for Noise Reductionen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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