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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
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:
K. Schwenk, A. Kuijper, J. Behr, D. 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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