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dc.contributor.authorLawlor, Orion Sky
dc.contributor.authorGenetti, Jon D.
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-11-08T07:52:40Z
dc.date.available2017-11-08T07:52:40Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 22nd International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 195-203.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26415
dc.format9 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectGPU sledovač paprskucs
dc.subjectdatové kompresecs
dc.subjectčasové kompresecs
dc.subjectteorie odběru vzorkůcs
dc.titleExploiting spatial redundancy with adaptive pyramidal renderingen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedJust as image data compression is designed to save space while preserving the essence of an image, we present an adaptive pyramidal rendering scheme designed to save rendering time while maintaining acceptable image quality. Our coarse-to-fine scheme predicts when and where it is safe to take less than one sample per output pixel, and exploits spatial redundancy to predict pixel colors in the resulting gaps, both of which can be performed at framerate in realtime on a modern GPU. As a lossy compression method, we present experimental data on the rendering time versus image quality tradeoff for several example renderers.en
dc.subject.translatedGPU raytraceren
dc.subject.translateddata compressionen
dc.subject.translatedtime compressionen
dc.subject.translatedsampling theoryen
dc.type.statusPeer-revieweden
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