Diffusion Based Photon Mapping

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dc.contributor.authorSchjoeth, L.en_US
dc.contributor.authorSporring, J.en_US
dc.contributor.authorFogh Olsen, O.en_US
dc.date.accessioned2015-02-21T13:21:53Z
dc.date.available2015-02-21T13:21:53Z
dc.date.issued2008en_US
dc.description.abstractDensity estimation employed in multi-pass global illumination algorithms give cause to a trade-off problem between bias and noise. The problem is seen most evident as blurring of strong illumination features. In particular, this blurring erodes fine structures and sharp lines prominent in caustics. To address this problem, we introduce a photon mapping algorithm based on nonlinear anisotropic diffusion. Our algorithm adapts according to the structure of the photon map such that smoothing occurs along edges and structures and not across. In this way, we preserve important illumination features, while eliminating noise. We demonstrate the applicability of our algorithm through a series of tests. In the tests, we evaluate the visual and computational performance of our algorithm comparing it to existing popular algorithms.en_US
dc.description.number8en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01196.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages2114-2127en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01196.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleDiffusion Based Photon Mappingen_US
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