Optimizing Path Tracing using Noise Reduction Filters

Optimizing Path Tracing using Noise Reduction Filters


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Abstract

The problem of global illumination can be solved using path tracing. Unfortunately path tracing gives very noisy images. This noise is mostly caused by the indirect illumination reflected diffusely. The common way to reduce the noise is to use more samples/rays pr. pixel. However, the convergence speed in path tracing makes this strategy very costly. In this paper we propose a technique in which light reflected diffusely two times is separated from the final solution. This light is filtered by different noise reduction filters and then added to the remaining solution. In this way we avoid blurring the image and at the same time we are able to reduce the noise level significantly.

Key Words: Global illumination, path tracing, noise reduction, filtering.

Reference:

Henrik Wann Jensen and Niels Jørgen Christensen: "Optimizing Path Tracing using Noise Reduction Filters". In Proceedings of WSCG 1995, pp. 134-142, 1995.

Click here to download a 1 MB gzip'ed postscript version of the paper

The Colour Images in the Paper



The Museum (no filter)

Path tracing with 50 samples per pixel. Visible noise...




The Museum (with filter)

Path tracing with 50 samples per pixel and noise reduction filtering. Less visible noise...



Last update: May 20, 2007
Henrik Wann Jensen