Boosting Monte Carlo Rendering by Ray Histogram Fusion

This article proposes a new multiscale filter accelerating Monte Carlo renderer. Each pixel in the image is characterized by the colors of the rays that reach its surface. The proposed filter uses a statistical distance to compare with each other the ray color distributions associated with different...

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Bibliographic Details
Published in:ACM transactions on graphics 2014, Vol.33 (1), p.1-15
Main Authors: DELBRACIO, Mauricio, MUSE, Pablo, BUADES, Antoni, CHAUVIER, Julien, PHELPS, Nicholas, MOREL, Jean-Michel
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial intelligence
Coding, codes
Computer science
control theory
systems
Equivalence
Exact sciences and technology
Gain
Information, signal and communications theory
Monte Carlo methods
Pattern recognition. Digital image processing. Computational geometry
Pixels
Renderers
Rendering
Samples
Signal and communications theory
Telecommunications and information theory
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Summary:This article proposes a new multiscale filter accelerating Monte Carlo renderer. Each pixel in the image is characterized by the colors of the rays that reach its surface. The proposed filter uses a statistical distance to compare with each other the ray color distributions associated with different pixels, at each scale. Based on this distance, it decides whether two pixels can share their rays or not. This simple and easily reproducible algorithm provides a psnr gain of 10 to 15 decibels, or equivalently accelerates the rendering process by using 10 to 30 times fewer samples without observable bias. The algorithm is consistent, does not assume a particular noise model, and is immediately extendable to synthetic movies. Being based on the ray color values only, it can be combined with all rendering effects.
ISSN:0730-0301
1557-7368
DOI:10.1145/2532708