title: Practical noise reduction for progressive stochastic ray tracing with perceptual control.
abstract: 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.
authors.forename: Karsten
authors.initials: K
authors.lastname: Schwenk
authors.forename: Arjan
authors.initials: A
authors.lastname: Kuijper
authors.forename: Johannes
authors.initials: J
authors.lastname: Behr
authors.forename: Dieter W
authors.initials: DW
authors.lastname: Fellner