Analysis of Reported Error in Monte Carlo Rendered Images

Joss Whittle, Mark W. Jones and Rafal Mantiuk

Abstract

Evaluating image quality in Monte Carlo rendered images is an important aspect of the rendering process as we often need to determine the relative quality between images computed using different algorithms and with varying amounts of computation. The use of a gold-standard, reference image, or ground truth (GT) is a common method to provide a baseline with which to compare experimental results. We show that if not chosen carefully the reference image can skew results leading to significant misreporting of error. We present an analysis of error in Monte Carlo rendered images and discuss practices to avoid or be aware of when designing an experiment.

DOI

10.1007/s00371-017-1384-7
https://dx.doi.org/10.1007/s00371-017-1384-7

Citation

Joss Whittle, Mark W. Jones and Rafal Mantiuk, Analysis of Reported Error in Monte Carlo Rendered Images, The Visual Computer 33(6), 705-713. (2017). https://dx.doi.org/10.1007/s00371-017-1384-7

BibTeX

@Article{Whittle2017,
author="Whittle, Joss
and Jones, Mark W.
and Mantiuk, Rafa{\l}",
title="Analysis of reported error in Monte Carlo rendered images",
journal="The Visual Computer",
year="2017",
volume="33",
number="6",
pages="705--713",
issn="1432-2315",
doi="10.1007/s00371-017-1384-7",
url="http://dx.doi.org/10.1007/s00371-017-1384-7"
}