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Intra-prediction for color image coding using YUV correlation

2010-09Conference paper Open access
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLucas, Luís F.R.
dc.contributor.authorRodrigues, Nuno M. M.
dc.contributor.authorFaria, Sérgio M. M. de
dc.contributor.authorSilva, Eduardo A. B. da
dc.contributor.authorCarvalho, Murilo B. de
dc.contributor.authorSilva, Vitor M. M. da
dc.date.accessioned2025-11-05T15:17:39Z
dc.date.available2025-11-05T15:17:39Z
dc.date.issued2010-09
dc.descriptionArticle number - 5653834; Conference name - 2010 17th IEEE International Conference on Image Processing, ICIP 2010; Conference date - 26 September 2010 - 29 September 2010; Conference code - 83260
dc.descriptionEISBN - 978-1-4244-7994-8
dc.descriptionFonte: https://www.researchgate.net/publication/221121772_Intra-prediction_for_color_image_coding_using_YUV_correlation
dc.descriptionLucas, Luís F.R. - Scopus ID: 36739640000
dc.description.abstractIn this paper we present a new algorithm for chroma prediction in YUV images, based on inter component correlation. Despite the YUV color space transformation for inter component decorrelation, some dependency still exists between the Y, U and V chroma components. This dependency has been previously used to predict the chrominance data from the reconstructed luminance. In this paper we show that a chrominance component can be more efficiently predicted by using the reconstructed data from both the luminance and the remaining chrominance signal. The proposed chroma prediction is implemented and tested using the Multidimensional Multiscale Parser (MMP) image encoding algorithm. It is shown that the new color prediction mode outperforms the originally proposed prediction methods. Furthermore, by using the new color prediction scheme, MMP is consistently better than the state-of-the-art H.264/AVC for coding both for the luminance and the chrominance image components.eng
dc.description.sponsorshipThis work was supported by FCT - Fundação para a Ciência e Tecnologia, Portugal, under project PTDC/EEA-TEL/66462/2006.
dc.identifier.citationL. F. R. Lucas, N. M. M. Rodrigues, S. M. M. de Faria, E. A. B. da Silva, M. B. de Carvalho and V. M. M. da Silva, "Intra-prediction for color image coding using YUV correlation," 2010 IEEE International Conference on Image Processing, Hong Kong, China, 2010, pp. 1329-1332, doi: https://doi.org/10.1109/ICIP.2010.5653834.
dc.identifier.doi10.1109/icip.2010.5653834
dc.identifier.eissn2381-8549
dc.identifier.isbn978-1-4244-7992-4
dc.identifier.isbn978-1-4244-7994-8
dc.identifier.issn1522-4880
dc.identifier.urihttp://hdl.handle.net/10400.8/14524
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5653834
dc.relation.ispartof2010 IEEE International Conference on Image Processing
dc.rights.uriN/A
dc.subjectColor Image Coding
dc.subjectInter-Component Correlation
dc.subjectIntra Prediction
dc.subjectRecurrent Pattern Matching
dc.titleIntra-prediction for color image coding using YUV correlationeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2010-09
oaire.citation.conferencePlaceHong Kong, China
oaire.citation.endPage1332
oaire.citation.startPage1329
oaire.citation.titleProceedings - International Conference on Image Processing, ICIP
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 paper we present a new algorithm for chroma prediction in YUV images, based on inter component correlation. Despite the YUV color space transformation for inter component decorrelation, some dependency still exists between the Y, U and V chroma components. This dependency has been previously used to predict the chrominance data from the reconstructed luminance. In this paper we show that a chrominance component can be more efficiently predicted by using the reconstructed data from both the luminance and the remaining chrominance signal. The proposed chroma prediction is implemented and tested using the Multidimensional Multiscale Parser (MMP) image encoding algorithm. It is shown that the new color prediction mode outperforms the originally proposed prediction methods. Furthermore, by using the new color prediction scheme, MMP is consistently better than the state-of-the-art H.264/AVC for coding both for the luminance and the chrominance image components.
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