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Compressing depth maps using multiscale recurrent pattern image coding

2010-03-04Journal article Restricted access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorGraziosi, D. B.
dc.contributor.authorRodrigues, N. M. M.
dc.contributor.authorPagliari, C. L.
dc.contributor.authorFaria, S. M. M. de
dc.contributor.authorSilva, E. A. B. da
dc.contributor.authorCarvalho, M. B. De
dc.date.accessioned2025-12-12T19:24:52Z
dc.date.available2025-12-12T19:24:52Z
dc.date.issued2010-03-04
dc.descriptionFonte: https://www.proquest.com/docview/1618804043/fulltextPDF/8503D1EFE15942A9PQ/1?accountid=208171&sourcetype=Scholarly%20Journals
dc.description.abstractThe use of the multidimensional multiscale parser algorithm for depth maps coding is proposed. The compression method uses a block-based approach, where efficient prediction combined with pattern matching is applied to the encoding of greyscale images, which convey the disparity or depth information of a 3D image. Simulation results show gains of up to 10dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC.eng
dc.description.sponsorshipThis work has been supported by Fundação para a Ciência e Tecnologia (FCT), under project PTDC/EEA-TEL/66462/2006.
dc.identifier.citationGraziosi, D. B., Rodrigues, N. M. M., Pagliari, C. L., de Faria, ,S.M.M., da Silva, ,E.A.B., & De Carvalho, ,M.B. (2010). Compressing depth maps using multiscale recurrent pattern image coding. Electronics Letters, 46(5), 1-2. Retrieved from https://www.proquest.com/scholarly-journals/compressing-depth-maps-using-multiscale-recurrent/docview/1618804043/se-2.
dc.identifier.doi10.1049/el.2010.0135
dc.identifier.eissn1350-911X
dc.identifier.issn0013-5194
dc.identifier.urihttp://hdl.handle.net/10400.8/15030
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitution of Engineering and Technology (IET)
dc.relationSCODE - Scanned COmpound Document Encoder
dc.relation.hasversionhttps://digital-library.theiet.org/doi/10.1049/el.2010.0135
dc.relation.ispartofElectronics Letters
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMotion Picture Experts Group standards
dc.subjectPattern matching
dc.subjectThree dimensional
dc.subjectVisual communication
dc.titleCompressing depth maps using multiscale recurrent pattern image codingeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSCODE - Scanned COmpound Document Encoder
oaire.awardURIhttp://hdl.handle.net/10400.8/15029
oaire.citation.issue5
oaire.citation.titleElectronics Letters
oaire.citation.volume46
oaire.fundingStreamConcurso para Projectos de I&D em todos os Domínios Científicos - 2006
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameM. M. Rodrigues
person.familyNameFaria
person.givenNameNuno
person.givenNameSergio
person.identifier.ciencia-id6917-B121-4E34
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0001-9536-1017
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id7006052345
person.identifier.scopus-author-id14027853900
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The use of the multidimensional multiscale parser algorithm for depth maps coding is proposed. The compression method uses a block-based approach, where efficient prediction combined with pattern matching is applied to the encoding of greyscale images, which convey the disparity or depth information of a 3D image. Simulation results show gains of up to 10dB when compared with state-of-the-art methods, such as JPEG2000 and H.264/AVC.
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