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Analysis of reported error in Monte Carlo rendered images

Joss Whittle, Mark Jones Orcid Logo, Rafał Mantiuk

The Visual Computer, Volume: 33, Issue: 6-8, Pages: 705 - 713

Swansea University Author: Mark Jones Orcid Logo

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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 groun...

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Published in: The Visual Computer
ISSN: 0178-2789 1432-2315
Published: Springer Science and Business Media LLC 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa33015
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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.
Keywords: Image quality assessment; Error metric; Monte Carlo rendering
College: Faculty of Science and Engineering
Issue: 6-8
Start Page: 705
End Page: 713