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Disparity compensation of light fields for improved efficiency in 4D transform-based encoders

datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorSantos, Joao M.
dc.contributor.authorThomaz, Lucas A.
dc.contributor.authorAssuncao, Pedro A. A.
dc.contributor.authorCruz, Luis A. da Silva
dc.contributor.authorTavora, Luis M. N.
dc.contributor.authorFaria, Sergio M. M. de
dc.date.accessioned2025-07-16T13:53:40Z
dc.date.available2025-07-16T13:53:40Z
dc.date.issued2020-12
dc.descriptionEISBN - 978-1-7281-8068-7
dc.descriptionArticle number - 9301829; Conference date - 1 December 2020 - 4 December 2020; Conference code - 166231
dc.description.abstractEfficient light field en coders take advantage of the inherent 4D data structures to achieve high compression performance. This is accomplished by exploiting the redundancy of co-located pixels in different sub-aperture images (SAIs) through prediction and/or transform schemes to find a m ore compact representation of the signal. However, in image regions with higher disparity between SAIs, such scheme's performance tends to decrease, thus reducing the compression efficiency. This paper introduces a reversible pre-processing algorithm for disparity compensation that operates on the SAI domain of light field data. The proposed method contributes to improve the transform efficiency of the encoder, since the disparity-compensated data presents higher correlation between co-located image blocks. The experimental results show significant improvements in the compression performance of 4D light fields, achieving Bjontegaard delta rate gains of about 44% on average for MuLE codec using the 4D discrete cosine transform, when encoding High Density Camera Arrays (HDCA) light field images.eng
dc.description.sponsorshipThis work was supported by the Fundação para a Ciência e a Tecnologia (FCT), Portugal, under PhD Grant SFRH/BD/114894/2016, Programa Operacional Regional do Centro, project PlenoISLA POCI-01-0145-FEDER-028325 and by FCT/MCTES through national funds and when applicable co-funded by eU funds under the project UIDB/EEA/50008/2020.
dc.identifier.citationJ. M. Santos, L. A. Thomaz, P. A. A. Assuncao, L. A. da Silva Cruz, L. M. N. Tavora and S. M. M. Faria, "Disparity compensation of light fields for improved efficiency in 4D transform-based encoders," 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, 2020, pp. 112-115, doi: https://doi.org/10.1109/VCIP49819.2020.9301829.
dc.identifier.doi10.1109/vcip49819.2020.9301829
dc.identifier.eissn2642-9357
dc.identifier.isbn978-1-7281-8069-4
dc.identifier.isbn978-1-7281-8068-7
dc.identifier.issn1018-8770
dc.identifier.urihttp://hdl.handle.net/10400.8/13672
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relationEfficient Lossless Coding of Light Fields for medical imaging systems
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9301829
dc.relation.ispartof2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
dc.rights.uriN/A
dc.subject4D light field codecs
dc.subjectdisparity compensation
dc.subjectLight field compression
dc.titleDisparity compensation of light fields for improved efficiency in 4D transform-based encoderseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleEfficient Lossless Coding of Light Fields for medical imaging systems
oaire.awardURIhttp://hdl.handle.net/10400.8/13670
oaire.citation.conferenceDate2020-12
oaire.citation.conferencePlaceMacau, China
oaire.citation.endPage115
oaire.citation.startPage112
oaire.citation.title2020 IEEE International Conference on Visual Communications and Image Processing, VCIP 2020
oaire.fundingStreamOE
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameThomaz
person.familyNameAssunção
person.familyNamede Oliveira Pegado de Noronha E Távora
person.familyNameFaria
person.givenNameLucas
person.givenNamePedro
person.givenNameLuís Miguel
person.givenNameSergio
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id121C-FADA-D750
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0002-1004-7772
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-8580-1979
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridA-4827-2017
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id14027853900
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Efficient light field en coders take advantage of the inherent 4D data structures to achieve high compression performance. This is accomplished by exploiting the redundancy of co-located pixels in different sub-aperture images (SAIs) through prediction and/or transform schemes to find a m ore compact representation of the signal. However, in image regions with higher disparity between SAIs, such scheme's performance tends to decrease, thus reducing the compression efficiency. This paper introduces a reversible pre-processing algorithm for disparity compensation that operates on the SAI domain of light field data. The proposed method contributes to improve the transform efficiency of the encoder, since the disparity-compensated data presents higher correlation between co-located image blocks. The experimental results show significant improvements in the compression performance of 4D light fields, achieving Bjontegaard delta rate gains of about 44% on average for MuLE codec using the 4D discrete cosine transform, when encoding High Density Camera Arrays (HDCA) light field images.
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