Multiscale Image Processing Using Normal Triangulated Meshes

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dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Image Processingen_US
dc.citation.firstpage229en_US
dc.citation.lastpage232en_US
dc.citation.locationThessaloniki, Greeceen_US
dc.citation.volumeNumber2en_US
dc.contributor.authorJansen, Maartenen_US
dc.contributor.authorChoi, Hyeokhoen_US
dc.contributor.authorLavu, Sridharen_US
dc.contributor.authorBaraniuk, Richard G.en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:47:21Zen_US
dc.date.available2007-10-31T00:47:21Zen_US
dc.date.issued2001-10-01en_US
dc.date.modified2006-06-21en_US
dc.date.note2001-10-24en_US
dc.date.submitted2001-10-01en_US
dc.descriptionConference Paperen_US
dc.description.abstractMultiresolution triangulation meshes are widely used in computer graphics for 3-d modelling of shapes. We propose an image representation and processing framework using a multiscale triangulation of the grayscale function. Triangles have the potential of approximating edges better than the blocky structures of tensor-product wavelets. Among the many possible triangulation schemes, normal meshes are natural for efficiently representing singularities in image data thanks to their adaptivity to the smoothness of the modeled image. Our non-linear, multiscale image decomposition algorithm, based on this subdivision scheme, takes edges into account in a way that is closely related to wedgelets and curvelets. The highly adaptive property of the normal meshes construction provides a very efficient representation of images, which potentially outperforms standard wavelet transforms. We demonstrate the approximation performance of the normal mesh representation through mathematical analyses for simple functions and simulations for real images.en_US
dc.description.sponsorshipDefense Advanced Research Projects Agencyen_US
dc.description.sponsorshipOffice of Naval Researchen_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationM. Jansen, H. Choi, S. Lavu and R. G. Baraniuk, "Multiscale Image Processing Using Normal Triangulated Meshes," vol. 2, 2001.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ICIP.2001.958466en_US
dc.identifier.urihttps://hdl.handle.net/1911/19962en_US
dc.language.isoengen_US
dc.subjectGeometry Processingen_US
dc.subject.keywordGeometry Processingen_US
dc.subject.otherMultiscale Methodsen_US
dc.subject.otherMultiscale geometry processingen_US
dc.titleMultiscale Image Processing Using Normal Triangulated Meshesen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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