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dc.contributor.authorSpencer, B.en_US
dc.contributor.authorJones, M.W.en_US
dc.date.accessioned2015-02-23T10:15:33Z
dc.date.available2015-02-23T10:15:33Z
dc.date.issued2009en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttp://dx.doi.org/10.1111/j.1467-8659.2009.01371.xen_US
dc.description.abstractThe photon mapping method is one of the most popular algorithms employed in computer graphics today. However, obtaining good results is dependent on several variables including kernel shape and bandwidth, as well as the properties of the initial photon distribution. While the photon density estimation problem has been the target of extensive research, most algorithms focus on new methods of optimising the kernel to minimise noise and bias. In this paper we break from convention and propose a new approach that directly redistributes the underlying photons. We show that by relaxing the initial distribution into one with a blue noise spectral signature we can dramatically reduce background noise, particularly in areas of uniform illumination. In addition, we propose an efficient heuristic to detect and preserve features and discontinuities. We then go on to demonstrate how reconfiguration also permits the use of very low bandwidth kernels, greatly improving render times whilst reducing bias.en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleInto the Blue: Better Caustics through Photon Relaxationen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.description.number2en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01371.xen_US
dc.identifier.pages319-328en_US


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