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DC poleHodnotaJazyk
dc.contributor.authorFischer, Roland
dc.contributor.authorDittmann, Philipp
dc.contributor.authorSchröder, Christoph
dc.contributor.authorZachmann, Gabriel
dc.contributor.editorSkala, Václav
dc.date.accessioned2020-07-24T08:17:35Z
dc.date.available2020-07-24T08:17:35Z
dc.date.issued2020
dc.identifier.citationJournal of WSCG. 2020, vol. 28, no. 1-2, p.168-176.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (on-line)
dc.identifier.urihttp://wscg.zcu.cz/WSCG2020/2020-J_WSCG-1-2.pdf
dc.identifier.urihttp://hdl.handle.net/11025/38439
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectbezeztrátová kompresecs
dc.subjecthloubková komprese obrazucs
dc.subjectstreamování RGB-Dcs
dc.subjectAzure Kinectcs
dc.titleImproved Lossless Depth Image Compressionen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedSince RGB-D sensors became massively popular and are used in a wide range of applications, depth data compression became an important research topic. Live-streaming of depth data requires quick compression and decompression. Accurate preservation of information is crucial in order to prevent geometric distortions. Custom algorithms are needed considering the unique characteristics of depth images. We propose a real-time, lossless algorithm which can achieve significantly higher compression ratios than RVL. The core elements are an adaptive span-wise intra-image prediction, and parallelization. Additionally, we extend the algorithm by inter-frame difference computation and evaluate the performance regarding different conditions. Lastly, the compression ratio can be further increased by a second encoder, circumventing the lower limit of four-bit per valid pixel of the original RVL algorithm.en
dc.subject.translatedlossless Compressionen
dc.subject.translatedDepth Image Compressionen
dc.subject.translatedRGB-D Streamingen
dc.subject.translatedAzure Kinecten
dc.identifier.doihttps://doi.org/10.24132/JWSCG.2020.28.21
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 28, Number 1-2 (2020)

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Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/38439

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  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Journal of WSCG
  5. Volume 28 (2020)
  6. Volume 28, Number 1-2 (2020)