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dc.contributor.authorBougleux, Sébastien*
dc.contributor.authorPeyré, Gabriel*
dc.contributor.authorCohen, Laurent D.*
dc.date.accessioned2010-01-15T08:32:25Z
dc.date.available2010-01-15T08:32:25Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2953
dc.language.isoenen
dc.subjectgeodesic
dc.subjectImage compression
dc.subjectfarthest point
dc.subjectFast Marching
dc.subjectanisotropy
dc.subjecttriangulation
dc.subject.ddc519en
dc.titleImage Compression with Anisotropic Geodesic Triangulations
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherUniversité de Caen, Caen;France
dc.description.abstractenWe propose a new image compression method based on geodesic Delaunay triangulations. Triangulations are generated by a progressive geodesic meshing algorithm which exploits the anisotropy of images through a farthest point sampling strategy. This seeding is performed according to anisotropic geodesic distances which force the anisotropic Delaunay triangles to follow the geometry of the image. Geodesic computations are performed using a Riemannian Fast Marching, which recursively updates the geodesic distance to the seed points. A linear spline approximation on this triangulation allows to approximate faithfully sharp edges and directional features in images. The compression is achieved by coding both the coefficients of the spline approximation and the deviation of the geodesic triangulation from an Euclidean Delaunay triangulation. Numerical results show that taking into account the anisotropy improves the approximation by isotropic triangulations of complex images. The resulting geodesic encoder competes well with wavelet-based encoder such as JPEG-2000 on geometric images.
dc.relation.ispartoftitle12th IEEE International Conference on Computer Vision (ICCV 2009)
dc.relation.ispartofpublnameIEEE
dc.relation.ispartofpublcityPiscataway, NJ
dc.relation.ispartofdate2009
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-00366933
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-1-4244-4420-5
dc.relation.confcountryJAPAN
dc.identifier.doi10.1109/ICCV.2009.5459425
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-03-13T14:41:19Z
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