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DC poleHodnotaJazyk
dc.contributor.authorBarina, David
dc.contributor.authorChlubna, Tomáš
dc.contributor.authorSolony, Marek
dc.contributor.authorDlabaja, Drahomír
dc.contributor.authorZemčík, Pavel
dc.contributor.editorSkala, Václav
dc.date.accessioned2019-10-22T09:29:29Z
dc.date.available2019-10-22T09:29:29Z
dc.date.issued2019
dc.identifier.citationWSCG 2019: full papers proceedings: 27. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 55-61.en
dc.identifier.isbn978-80-86943-37-4 (CD/-ROM)
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464-4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/35609
dc.format7 s.cs
dc.format.mimetypeapplication/odt
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.rights© Václav Skala - UNION Agencycs
dc.subjectsvětelné polecs
dc.subjectplicní zobrazenícs
dc.subjectztrátová kompresecs
dc.subjectzměna zaměření obrazucs
dc.titleEvaluation of 4D Light Field Compression Methodsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedLight field data records the amount of light at multiple points in space, captured e.g. by an array of cameras or by a light-field camera that uses microlenses. Since the storage and transmission requirements for such data are tremendous, compression techniques for light fields are gaining momentum in recent years. Although plenty of efficient compression formats do exist for still and moving images, only a little research on the impact of these methods on light field imagery is performed. In this paper, we evaluate the impact of state-of-the-art image and video compression methods on quality of images rendered from light field data. The methods include recent video compression standards, especially AV1 and XVC finalised in 2018. To fully exploit the potential of common image compression methods on four-dimensional light field imagery, we have extended these methods into three and four dimensions. In this paper, we show that the four-dimensional light field data can be compressed much more than independent still images while maintaining the same visual quality of a perceived picture. We gradually compare the compression performance of all image and video compression methods, and eventually answer the question,"What is the best compression method for light field data?".en
dc.subject.translatedlight fielden
dc.subject.translatedplenoptic imagingen
dc.subject.translatedlossy compressionen
dc.subject.translatedimage refocusingen
dc.identifier.doihttps://doi.org/10.24132/CSRN.2019.2901.1.7
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2019: Full Papers Proceedings

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