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Practical Noise Reduction for Progressive Stochastic Ray Tracing with Perceptual Control
Nov.-Dec. 2012 (vol. 32 no. 6)
pp. 46-55
Karsten Schwenk, Fraunhofer IGD and Technische Universität Darmstadt
Arjan Kuijper, Fraunhofer IGD and Technische Universität Darmstadt
Johannes Behr, Fraunhofer IGD
Dieter W. Fellner, Fraunhofer IGD and Technische Universität Graz
A proposed method reduces noise in stochastic ray tracing for interactive progressive rendering. The method accumulates high-variance light paths in a separate buffer, which is filtered by a high-quality edge-preserving filter. Then, this method adds a combination of the noisy unfiltered samples and the less noisy (but biased) filtered samples to the low-variance samples to form the final image. A novel per-pixel blending operator combines both contributions in a way that respects a user-defined threshold on perceived noise. This method can provide fast, reliable previews, even in the presence of complex features such as specular surfaces and high-frequency textures. At the same time, it's consistent in that the bias due to filtering vanishes in the limit.
Index Terms:
Noise abatement,Rendering (computer graphics),Noise level,Interactive systems,Image edge detection,Lighting,Noise measurement,Ray tracing,illumination filtering,Noise abatement,Rendering (computer graphics),Noise level,Interactive systems,Image edge detection,Lighting,Noise measurement,Ray tracing,computer graphics,noise reduction,stochastic ray tracing,progressive rendering
Citation:
Karsten Schwenk, Arjan Kuijper, Johannes Behr, Dieter W. Fellner, "Practical Noise Reduction for Progressive Stochastic Ray Tracing with Perceptual Control," IEEE Computer Graphics and Applications, vol. 32, no. 6, pp. 46-55, Nov.-Dec. 2012, doi:10.1109/MCG.2012.30
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