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dc.contributor.authorSoler, Cyril
dc.contributor.authorSubr, Kartic
dc.contributor.authorDurand, Fredo
dc.contributor.authorHolzschuch, Nicolas
dc.contributor.authorSillion, Francois
dc.date.accessioned2015-12-16T02:48:18Z
dc.date.available2015-12-16T02:48:18Z
dc.date.issued2009-04
dc.identifier.issn07300301
dc.identifier.urihttp://hdl.handle.net/1721.1/100281
dc.description.abstractOptical systems used in photography and cinema produce depth-of-field effects, that is, variations of focus with depth. These effects are simulated in image synthesis by integrating incoming radiance at each pixel over the lense aperture. Unfortunately, aperture integration is extremely costly for defocused areas where the incoming radiance has high variance, since many samples are then required for a noise-free Monte Carlo integration. On the other hand, using many aperture samples is wasteful in focused areas where the integrand varies little. Similarly, image sampling in defocused areas should be adapted to the very smooth appearance variations due to blurring. This article introduces an analysis of focusing and depth-of-field in the frequency domain, allowing a practical characterization of a light field's frequency content both for image and aperture sampling. Based on this analysis we propose an adaptive depth-of-field rendering algorithm which optimizes sampling in two important ways. First, image sampling is based on conservative bandwidth prediction and a splatting reconstruction technique ensures correct image reconstruction. Second, at each pixel the variance in the radiance over the aperture is estimated and used to govern sampling. This technique is easily integrated in any sampling-based renderer, and vastly improves performance.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/1516522.1516529en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleFourier depth of fielden_US
dc.typeArticleen_US
dc.identifier.citationSoler, Cyril, Kartic Subr, Fredo Durand, Nicolas Holzschuch, and Francois Sillion. “Fourier Depth of Field.” ACM Transactions on Graphics 28, no. 2 (April 1, 2009): 1–12.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorDurand, Fredoen_US
dc.relation.journalACM Transactions on Graphicsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsSoler, Cyril; Subr, Kartic; Durand, Fredo; Holzschuch, Nicolas; Sillion, Francoisen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9919-069X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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