Publication
Disparity compensation of light fields for improved efficiency in 4D transform-based encoders
datacite.subject.sdg | 03:Saúde de Qualidade | |
datacite.subject.sdg | 10:Reduzir as Desigualdades | |
datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
dc.contributor.author | Santos, Joao M. | |
dc.contributor.author | Thomaz, Lucas A. | |
dc.contributor.author | Assuncao, Pedro A. A. | |
dc.contributor.author | Cruz, Luis A. da Silva | |
dc.contributor.author | Tavora, Luis M. N. | |
dc.contributor.author | Faria, Sergio M. M. de | |
dc.date.accessioned | 2025-07-16T13:53:40Z | |
dc.date.available | 2025-07-16T13:53:40Z | |
dc.date.issued | 2020-12 | |
dc.description | EISBN - 978-1-7281-8068-7 | |
dc.description | Article number - 9301829; Conference date - 1 December 2020 - 4 December 2020; Conference code - 166231 | |
dc.description.abstract | 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. | eng |
dc.description.sponsorship | This 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.citation | J. 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.doi | 10.1109/vcip49819.2020.9301829 | |
dc.identifier.eissn | 2642-9357 | |
dc.identifier.isbn | 978-1-7281-8069-4 | |
dc.identifier.isbn | 978-1-7281-8068-7 | |
dc.identifier.issn | 1018-8770 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/13672 | |
dc.language.iso | eng | |
dc.peerreviewed | yes | |
dc.publisher | IEEE Canada | |
dc.relation | Efficient Lossless Coding of Light Fields for medical imaging systems | |
dc.relation.hasversion | https://ieeexplore.ieee.org/document/9301829 | |
dc.relation.ispartof | 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) | |
dc.rights.uri | N/A | |
dc.subject | 4D light field codecs | |
dc.subject | disparity compensation | |
dc.subject | Light field compression | |
dc.title | Disparity compensation of light fields for improved efficiency in 4D transform-based encoders | eng |
dc.type | conference paper | |
dspace.entity.type | Publication | |
oaire.awardTitle | Efficient Lossless Coding of Light Fields for medical imaging systems | |
oaire.awardURI | http://hdl.handle.net/10400.8/13670 | |
oaire.citation.conferenceDate | 2020-12 | |
oaire.citation.conferencePlace | Macau, China | |
oaire.citation.endPage | 115 | |
oaire.citation.startPage | 112 | |
oaire.citation.title | 2020 IEEE International Conference on Visual Communications and Image Processing, VCIP 2020 | |
oaire.fundingStream | OE | |
oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
person.familyName | Thomaz | |
person.familyName | Assunção | |
person.familyName | de Oliveira Pegado de Noronha E Távora | |
person.familyName | Faria | |
person.givenName | Lucas | |
person.givenName | Pedro | |
person.givenName | Luís Miguel | |
person.givenName | Sergio | |
person.identifier.ciencia-id | 6811-3984-C17B | |
person.identifier.ciencia-id | 121C-FADA-D750 | |
person.identifier.ciencia-id | 8815-4101-28DD | |
person.identifier.orcid | 0000-0002-1004-7772 | |
person.identifier.orcid | 0000-0001-9539-8311 | |
person.identifier.orcid | 0000-0002-8580-1979 | |
person.identifier.orcid | 0000-0002-0993-9124 | |
person.identifier.rid | A-4827-2017 | |
person.identifier.rid | C-5245-2011 | |
person.identifier.scopus-author-id | 6701838347 | |
person.identifier.scopus-author-id | 14027853900 | |
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relation.isAuthorOfPublication.latestForDiscovery | 5aaecc29-3e2f-49a6-9fd9-7000d9f6085f | |
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relation.isProjectOfPublication.latestForDiscovery | 57a62275-1bb1-4ec1-b169-d40e7887bb63 |
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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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