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Image coding using Variable-Size Transforms and a full binary tree recursive optimization

2014-08Comunicação em conferência Acesso restrito
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorOliveira, Anderson V. C. de
dc.contributor.authorRodrigues, Nuno M. M.
dc.contributor.authorFaria, Sérgio M. M. de
dc.contributor.authorSilva, Eduardo A. B. da
dc.contributor.authorPagliari, Carla L.
dc.date.accessioned2026-07-07T14:50:55Z
dc.date.available2026-07-07T14:50:55Z
dc.date.issued2014-08
dc.descriptionConference date - 17 August 2014 - 20 August 2014; Conference code - 109051
dc.descriptionEISBN - 978-147993743-1
dc.description.abstractIn this work, we present the first results of a new algorithm for image compression, called Variable Size Transform Coder (VSTC). This algorithm uses spatial transforms and recursive optimization functions combined with a highly adaptive segmentation scheme, similar to the one proposed by the MMP algorithm (Multi-dimensional Multiscale Parser), that uses pattern matching. We replaced the pattern matching by spatial multiscale transforms, which include symmetric and asymmetric blocks, and we investigated and implemented some of the required tools for encoding these new blocks. The proposed method uses a much more dynamic adaptive-size transforms than the H.264/AVC standard and compares favorably with this encoder. It also consistently outperforms the pattern matching scheme of the MMP algorithm. Moreover, we have considerably reduced the computational complexity when compared to the MMP algorithm.eng
dc.description.sponsorshipThis work was partially funded by CAPES/Pro-Defesa, Brazil, under research grant 23038.009094/2013-83.
dc.identifier.citationA. V. C. de Oliveira, N. M. M. Rodrigues, S. M. M. de Faria, E. A. B. da Silva and C. L. Pagliari, "Image coding using Variable-Size Transforms and a full binary tree recursive optimization," 2014 International Telecommunications Symposium (ITS), Sao Paulo, Brazil, 2014, pp. 1-5, doi: https://doi.org/10.1109/ITS.2014.6948006.
dc.identifier.doi10.1109/its.2014.6948006
dc.identifier.isbn978-147993743-1
dc.identifier.urihttp://hdl.handle.net/10400.8/16557
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/6948006
dc.relation.ispartof2014 International Telecommunications Symposium (ITS)
dc.rights.uriN/A
dc.subjectImage coding
dc.subjectMMP
dc.subjectmultiscale transforms
dc.subjectvariable size transforms
dc.titleImage coding using Variable-Size Transforms and a full binary tree recursive optimizationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-08
oaire.citation.conferencePlaceSão Paulo, Brazil
oaire.citation.title2014 International Telecommunications Symposium, ITS 2014 - Proceedings
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
relation.isAuthorOfPublicationb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscoveryb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69

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In this work, we present the first results of a new algorithm for image compression, called Variable Size Transform Coder (VSTC). This algorithm uses spatial transforms and recursive optimization functions combined with a highly adaptive segmentation scheme, similar to the one proposed by the MMP algorithm (Multi-dimensional Multiscale Parser), that uses pattern matching. We replaced the pattern matching by spatial multiscale transforms, which include symmetric and asymmetric blocks, and we investigated and implemented some of the required tools for encoding these new blocks. The proposed method uses a much more dynamic adaptive-size transforms than the H.264/AVC standard and compares favorably with this encoder. It also consistently outperforms the pattern matching scheme of the MMP algorithm. Moreover, we have considerably reduced the computational complexity when compared to the MMP algorithm.
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