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Randomized coherent sampling for reducing perceptual rendering error

Published:05 August 2012Publication History

ABSTRACT

Realistic image synthesis using path tracing needs many samples to achieve noise-free images. The noise is due to the use of Monte Carlo integration in path tracing. Since Monte Carlo integration evaluates each pixel using random sampling, we obtain noisy pixels at low sample counts. Due to the random nature of Monte Carlo integration, pixel values with finite numbers of samples can be significantly different, even if their correct solutions to the rendering equation are the same.

References

  1. Sadeghi, I., Chen, B., and Jensen, H. W. 2009. Coherent path tracing. journal of graphics, gpu, and game tools 14, 2, 33--43.Google ScholarGoogle Scholar
  2. Yee, H. 2004. A perceptual metric for production testing. journal of graphics, gpu, and game tools 9, 4, 33--40.Google ScholarGoogle Scholar
  1. Randomized coherent sampling for reducing perceptual rendering error

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '12: ACM SIGGRAPH 2012 Posters
      August 2012
      131 pages
      ISBN:9781450316828
      DOI:10.1145/2342896

      Copyright © 2012 ACM

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      New York, NY, United States

      Publication History

      • Published: 5 August 2012

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