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dc.contributorOrtega, Antonio
dc.contributor.authorSánchez Blanco, Alfonso
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2010-11-15T12:25:26Z
dc.date.available2010-11-15T12:25:26Z
dc.date.issued2010-06
dc.identifier.urihttp://hdl.handle.net/2099.1/10175
dc.descriptionProjecte final de carrera realitzat en col.laboració amb University of Southern California
dc.description.abstractThis thesis presents a new wavelet transform speci cally designed for the coding of depth images which are used in view synthesis operations. Two basic properties of these images can be leveraged: rst, errors in pixels located near the edges of objects have a greater perceptual impact on the synthesized view; second, they can be approximated as piece-wise planar signals. We make use of these facts to de ne a discrete wavelet transform using lifting that avoids ltering across edges. The lters are designed to t the planar shape of the signal. This leads to an e cient representation of the image while preserving the sharpness of the edges. By preserving the edge information, we are able to improve the quality of the synthesized views, as compared to existing methods. i
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshVideo compression
dc.subject.otherDepth map
dc.subject.otherWavelet
dc.subject.otherView interpolation
dc.titleEdge-preserving depth-map coding using graph-based wavelets
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacCompressió de video
dc.rights.accessOpen Access
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona


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Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain