Nonlinear Wavelet Transforms for Image Coding via Lifting

dc.citation.bibtexNamearticleen_US
dc.citation.firstpage1449
dc.citation.issueNumber12en_US
dc.citation.journalTitleIEEE Transactions on Image Processingen_US
dc.citation.lastpage1459
dc.citation.volumeNumber12en_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.accessioned2007-10-31T00:40:34Z
dc.date.available2007-10-31T00:40:34Z
dc.date.issued2003-12-01en
dc.date.modified2006-07-19en_US
dc.date.submitted2006-06-06en_US
dc.descriptionJournal Paperen_US
dc.description.abstractWe investigate central issues such as invertibility, stability, synchronization, and frequency characteristics for nonlinear wavelet transforms built using the lifting framework. The nonlinearity comes from adaptively choosing between a class of linear predictors within the lifting framework. We also describe how earlier families of nonlinear filter banks can be extended through the use of prediction functions operating on a causal neighborhood of pixels. Preliminary compression results for model and real-world images demonstrate the promise of our techniques.en_US
dc.identifier.citationR. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk, "Nonlinear Wavelet Transforms for Image Coding via Lifting," <i>IEEE Transactions on Image Processing,</i> vol. 12, no. 12, 2003.
dc.identifier.doihttp://dx.doi.org/10.1109/TIP.2003.817237en_US
dc.identifier.urihttps://hdl.handle.net/1911/19809
dc.language.isoeng
dc.subjectcompression*
dc.subject.keywordcompressionen_US
dc.subject.otherDSP for Communicationsen_US
dc.titleNonlinear Wavelet Transforms for Image Coding via Liftingen_US
dc.typeJournal article
dc.type.dcmiText
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