Nonlinear Wavelet Transforms for Image Coding

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage662
dc.citation.lastpage667
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber1en_US
dc.contributor.authorClaypoole, Roger L.en_US
dc.contributor.authorDavis, Geoffreyen_US
dc.contributor.authorSweldens, Wimen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:40:10Z
dc.date.available2007-10-31T00:40:10Z
dc.date.issued1997-11-01en
dc.date.modified2006-06-07en_US
dc.date.note2006-06-07en_US
dc.date.submitted1997-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractWe examine the central issues of invertibility, stability, artifacts, and frequency-domain characteristics in the construction of nonlinear analogs of the wavelet transform. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. We describe a new type of nonlinearity for use in constructing nonlinear transforms: a set of linear predictors that are chosen adaptively using a nonlinear selection function. We also describe how earlier families of nonlinear filter banks can be extended through the use of prediction functions operating on a causal neighborhood. We present preliminary results for a synthetic test image.en_US
dc.identifier.citationR. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk, "Nonlinear Wavelet Transforms for Image Coding," vol. 1, 1997.
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.1997.680528en_US
dc.identifier.urihttps://hdl.handle.net/1911/19802
dc.language.isoeng
dc.subject.otherDSP for Communicationsen_US
dc.titleNonlinear Wavelet Transforms for Image Codingen_US
dc.typeConference paper
dc.type.dcmiText
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