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dc.contributor.authorWakin, Michael
Romberg, Justin
Choi, Hyeokho
Baraniuk, Richard G.
dc.creatorWakin, Michael
Romberg, Justin
Choi, Hyeokho
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T01:08:57Z
dc.date.available 2007-10-31T01:08:57Z
dc.date.issued 2006
dc.date.submitted 2004-04-27
dc.identifier.citation M. Wakin, J. Romberg, H. Choi and R. G. Baraniuk, "Wavelet-domain Approximation and Compression of Piecewise Smooth Images," IEEE Transactions on Image Processing, 2006.
dc.identifier.urihttps://hdl.handle.net/1911/20430
dc.description Journal Paper
dc.description.abstract The wavelet transform provides a sparse representation for smooth images, enabling efficient approximation and compression using techniques such as zerotrees. Unfortunately, this sparsity does not extend to piecewise smooth images, where edge discontinuities separating smooth regions persist along smooth contours. This lack of sparsity hampers the efficiency of wavelet-based approximation and compression. On the class of images containing smooth C² regions separated by edges along smooth C² contours, for example, the asymptotic rate-distortion (R-D) performance of zerotree-based wavelet coding is limited to D(R) ~ 1/R, well below the optimal rate of 1/R².

dc.description.sponsorship Office of Naval Research
dc.description.sponsorship National Science Foundation
dc.description.sponsorship Air Force Office of Scientific Research
dc.language.iso eng
dc.subjectImage compression
nonlinear approximation
wavelets
wedgelets
edges
wedgeprints
dc.subject.otherMultiscale geometry processing
dc.title Wavelet-domain Approximation and Compression of Piecewise Smooth Images
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Transactions on Image Processing
dc.date.modified 2006-07-19
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordImage compression
nonlinear approximation
wavelets
wedgelets
edges
wedgeprints
dc.relation.softwarehttp://www.dsp.rice.edu/~wakin/images
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/TIP.2005.864175


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1321]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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