Robust Image Denoising Using a Virtual Flash Image for Monte Carlo Ray Tracing

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dc.contributor.authorMoon, Bochangen_US
dc.contributor.authorJun, Jong Yunen_US
dc.contributor.authorLee, JongHyeoben_US
dc.contributor.authorKim, Kunhoen_US
dc.contributor.authorHachisuka, Toshiyaen_US
dc.contributor.authorYoon, Sung-Euien_US
dc.contributor.editorHolly Rushmeier and Oliver Deussenen_US
dc.date.accessioned2015-02-28T15:16:48Z
dc.date.available2015-02-28T15:16:48Z
dc.date.issued2013en_US
dc.description.abstractWe propose an efficient and robust image-space denoising method for noisy images generated by Monte Carlo ray tracing methods. Our method is based on two new concepts: virtual flash images and homogeneous pixels. Inspired by recent developments in flash photography, virtual flash images emulate photographs taken with a flash, to capture various features of rendered images without taking additional samples. Using a virtual flash image as an edge-stopping function, our method can preserve image features that were not captured well only by existing edge-stopping functions such as normals and depth values. While denoising each pixel, we consider only homogeneous pixelsâ ''pixels that are statistically equivalent to each other. This makes it possible to define a stochastic error bound of our method, and this bound goes to zero as the number of ray samples goes to infinity, irrespective of denoising parameters. To highlight the benefits of our method, we apply our method to two Monte Carlo ray tracing methods, photon mapping and path tracing, with various input scenes. We demonstrate that using virtual flash images and homogeneous pixels with a standard denoising method outperforms state-of-the-art image-space denoising methods.We propose an efficient and robust image-space denoising method for noisy images generated by Monte Carlo ray tracing methods. Our method is based on two new concepts: virtual flash images and homogeneous pixels. Inspired by recent developments in flash photography, virtual flash images emulate photographs taken with a flash, to capture various features of rendered images without taking additional samples. Using a virtual flash image as an edge-stopping function, our method can preserve image features that were not captured well only by existing edge-stopping functions such as normals and depth values.en_US
dc.description.number1
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume32
dc.identifier.doi10.1111/cgf.12004en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12004en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectRaytracingen_US
dc.subjectMonte Carlo ray tracingen_US
dc.subjectglobal illuminationen_US
dc.subjectimage denoisingen_US
dc.titleRobust Image Denoising Using a Virtual Flash Image for Monte Carlo Ray Tracingen_US
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