Repository logo
 
Publication

Lossless light-field compression using reversible colour transformations

dc.contributor.authorSantos, Joao M.
dc.contributor.authorPedro A. A. Assuncao
dc.contributor.authorCruz, Luis A. da Silva
dc.contributor.authorLuís Távora
dc.contributor.authorFonseca-Pinto, Rui
dc.contributor.authorSergio M. M. Faria
dc.date.accessioned2025-06-27T16:38:54Z
dc.date.available2025-06-27T16:38:54Z
dc.date.issued2017-11-28
dc.description.abstractRecent advances in Light Field acquisition and rendering are pushing research efforts towards increasingly efficient methods to encode this particular type of data. Light Field image compression is of the utmost importance, not only due to the large amount of data required for its representation but also due to quality requirements of many applications and computational photography methods. This paper presents a research study about the impact of reversible colour transformations and alternative data arrangements in Light Field lossless coding. The experimental results indicate that the RCT reversible transform consistently achieves the highest compression performance across all data arrangements and lossless encoders. In particular, the best results are obtained with MRP when encoding the stack of sub-aperture images using a spiral scan order, achieving 6.41 bpp, on average.eng
dc.description.sponsorshipThis work was supported in part by the Fundação para a Ciência e a Tecnologia (FCT), Portugal, under PhD Grant SFRH/BD/114894/2016 and by DERMOPLENO project in the scope of R&D Unit 50008, through national funds and when applicable co-funded by FEDER – PT2020 partnership agreement.
dc.identifier.citationJ. M. Santos, P. A. A. Assuncao, L. A. da Silva Cruz, L. Távora, R. Fonseca-Pinto and S. M. M. Faria, "Lossless light-field compression using reversible colour transformations," 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA), Montreal, QC, Canada, 2017, pp. 1-6, doi: 10.1109/IPTA.2017.8310154
dc.identifier.doi10.1109/ipta.2017.8310154
dc.identifier.urihttp://hdl.handle.net/10400.8/13450
dc.language.isoeng
dc.peerreviewedn/a
dc.publisherIEEE
dc.relationSFRH/BD/114894/2016
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/8310154
dc.relation.ispartof2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
dc.rights.uriN/A
dc.subjectLight-field compression
dc.subjectlossless compression
dc.subjectcolour space transforms
dc.titleLossless light-field compression using reversible colour transformationseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2017-11-28
oaire.citation.conferencePlaceMontreal, QC, Canada
oaire.citation.titleSeventh International Conference on Image Processing Theory, Tools and Applications (IPTA)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAssunção
person.familyNamede Oliveira Pegado de Noronha E Távora
person.familyNameFonseca-Pinto
person.givenNamePedro
person.givenNameLuís Miguel
person.givenNameRui
person.identifier.ciencia-id6811-3984-C17B
person.identifier.ciencia-id121C-FADA-D750
person.identifier.ciencia-id681D-C547-B184
person.identifier.orcid0000-0001-9539-8311
person.identifier.orcid0000-0002-8580-1979
person.identifier.orcid0000-0001-6774-5363
person.identifier.ridA-4827-2017
person.identifier.ridK-9449-2014
person.identifier.scopus-author-id6701838347
person.identifier.scopus-author-id26039086400
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication71940f24-f333-4ab6-abf6-00c7119a07c2
relation.isAuthorOfPublication7eb9d123-1800-4afd-a2f6-91043353011b
relation.isAuthorOfPublication.latestForDiscovery7eb9d123-1800-4afd-a2f6-91043353011b

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Lossless_light-field_compression_using_reversible_colour_transformations.pdf
Size:
380.05 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description: