Irradiance Filtering for Monte Carlo Ray Tracing

Janne Kontkanen (), Jussi Räsänen () and Alexander Keller ()
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Janne Kontkanen: Helsinki University of Technology/TML
Jussi Räsänen: Helsinki University of Technology/TML
Alexander Keller: University of Ulm

A chapter in Monte Carlo and Quasi-Monte Carlo Methods 2004, 2006, pp 259-272 from Springer

Abstract: Summary Stochastic ray tracing algorithms generate photo-realistic images by simulating the global illumination. Typically a rather long computation time is required for decreasing the visible noise to an acceptable level. In this paper we propose a spatially variant low-pass filter for reducing this noise. We analyze the theoretical background of the method and present an efficient implementation that enables the use of a comparatively small number of samples while producing high quality images. Our algorithm can be used to accelerate path tracing and final gathering in photon mapping. We compare the method to irradiance caching and the results show that our algorithm renders images of similar or better quality up to five times faster.

Keywords: Global Illumination; Dependent Test; Shadow Boundary; Photon Mapping; Geometric Discontinuity (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-31186-7_16

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DOI: 10.1007/3-540-31186-6_16

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