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dc.contributor.authorSuykens, Frank
dc.contributor.authorWillems, Yves D.
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-25T08:18:31Z
dc.date.available2015-09-25T08:18:31Z
dc.date.issued2000
dc.identifier.citationJournal of WSCG. 2000, vol. 8, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
dc.identifier.urihttp://hdl.handle.net/11025/15967
dc.format8 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.subjectglobální osvětlenícs
dc.subjectMonte Carlocs
dc.subjectodhad hustotycs
dc.subjectobousměrný path tracingcs
dc.subjectfiltrace obrazucs
dc.titleAdaptive filtering for progressive Monte Carlo image renderingen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedImage filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation techniques that applies an energy preserving adaptive kernel filter to individual samples during image rendering. The used kernel widths diminish as the number of samples goes up, ensuring a reasonable noise versus bias trade-off at any time. This results in a progressive algorithm, that still converges asymptotically to a correct solution. Results show that general noise as well as spike noise can effectively be reduced. Many interesting extensions are possible, making this a very promising technique for Monte Carlo image synthesis.en
dc.subject.translatedglobal illuminationen
dc.subject.translatedMonte Carloen
dc.subject.translateddensity estimationen
dc.subject.translatedbidirectional path tracingen
dc.subject.translatedimage filteringen
dc.type.statusPeer-revieweden
Appears in Collections:Volume 8, number 1-3 (2000)

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