Geometric Tools for Image Compression

Simple item page
dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameAsilomar Conference on Signals, Systems, and Computersen_US
dc.citation.firstpage1725
dc.citation.lastpage1729
dc.citation.locationPacific Grove, CAen_US
dc.citation.volumeNumber2en_US
dc.contributor.authorWakin, Michaelen_US
dc.contributor.authorRomberg, Justinen_US
dc.contributor.authorChoi, Hyeokhoen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:08:43Z
dc.date.available2007-10-31T01:08:43Z
dc.date.issued2002-11-01en
dc.date.modified2006-06-21en_US
dc.date.note2002-12-11en_US
dc.date.submitted2002-11-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractImages typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is difficult, and standard image coders fail to fully exploit this geometric regularity. We introduce wedgelets as a geometric tool for image compression. Wedgelets offer piecewise-linear approximations of edge contours and can be efficiently encoded. We describe the fundamental challenges that arise when applying such a tool to image compression. To meet these challenges, we also propose an efficient rate-distortion framework for natural image compression using wedgelets.en_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.description.sponsorshipAir Force Office of Scientific Researchen_US
dc.identifier.citationM. Wakin, J. Romberg, H. Choi and R. G. Baraniuk, "Geometric Tools for Image Compression," vol. 2, 2002.
dc.identifier.doihttp://dx.doi.org/10.1109/ACSSC.2002.1197070en_US
dc.identifier.urihttps://hdl.handle.net/1911/20426
dc.language.isoeng
dc.subjectimage compression*
dc.subjectgeometric tool*
dc.subjectwedgelet*
dc.subjectrate-distortion*
dc.subjectW-SFQ*
dc.subject.keywordimage compressionen_US
dc.subject.keywordgeometric toolen_US
dc.subject.keywordwedgeleten_US
dc.subject.keywordrate-distortionen_US
dc.subject.keywordW-SFQen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleGeometric Tools for Image Compressionen_US
dc.typeConference paper
dc.type.dcmiText
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
Wak2002Nov5Geometric.PDF
Size:
462.92 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
Wak2002Nov5Geometric.PS
Size:
374.72 KB
Format:
Postscript Files
Download
Collections
ECE Publications
DSP Publications