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dc.contributor.authorLang, Markus
Guo, Haitao
Odegard, Jan E.
Burrus, C. Sidney
Wells, R.O.
dc.creatorLang, Markus
Guo, Haitao
Odegard, Jan E.
Burrus, C. Sidney
Wells, R.O.
dc.date.accessioned 2007-10-31T00:50:59Z
dc.date.available 2007-10-31T00:50:59Z
dc.date.issued 1995-04-20
dc.date.submitted 1995-04-20
dc.identifier.citation M. Lang, H. Guo, J. E. Odegard, C. S. Burrus and R. Wells, "Nonlinear Processing of a Shift Invariant DWT for Noise Reduction," 1995.
dc.identifier.urihttps://hdl.handle.net/1911/20046
dc.description Conference Paper
dc.description.abstract A 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 l<sub>2</sub> error and visually, for a large class of signals. This is shown by theoretical and experimental results, including synthetic aperture radar (SAR) images.
dc.language.iso eng
dc.subjectnoise reduction
shift invariance
redundancy
wavelet transform
SAR
dc.subject.otherWavelet based Signal/Image Processing
dc.title Nonlinear Processing of a Shift Invariant DWT for Noise Reduction
dc.type Conference paper
dc.date.note 2002-09-23
dc.citation.bibtexName inproceedings
dc.date.modified 2002-09-23
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.contributor.orgCML (http://cml.rice.edu/)
dc.subject.keywordnoise reduction
shift invariance
redundancy
wavelet transform
SAR
dc.citation.location Orlando, FL
dc.citation.conferenceName SPIE Symp. OE/Aerospace Sensing and Dual Use Photonics, Algorithm for Synthetic Aperture Radar Image
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1117/12.205427


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1289]
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