Adaptive Wavelet Transforms for Image Coding

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_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.accessioned2007-10-31T00:40:08Zen_US
dc.date.available2007-10-31T00:40:08Zen_US
dc.date.issued1997-11-01en_US
dc.date.modified2004-11-07en_US
dc.date.note2004-11-07en_US
dc.date.submitted1997-11-01en_US
dc.descriptionConference paperen_US
dc.description.abstractWe introduce a new adaptive transform for wavelet-based image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is non-linear, we examine the central issues of invertibility, stability, and artifacts in its construction. We describe a new type of non-linearity: a set of linear predictors are chosen adaptively using a non-linear selection function. We also describe how earlier families of non-linear 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, "Adaptive Wavelet Transforms for Image Coding," 1997.en_US
dc.identifier.urihttps://hdl.handle.net/1911/19801en_US
dc.language.isoengen_US
dc.subjectLiftingen_US
dc.subjectwavelet transformen_US
dc.subject.keywordLiftingen_US
dc.subject.keywordwavelet transformen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleAdaptive Wavelet Transforms for Image Codingen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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