Journal article 1187 views 83 downloads
Analysis of reported error in Monte Carlo rendered images
,
Rafał Mantiuk
The Visual Computer, Volume: 33, Issue: 6-8, Pages: 705 - 713
Swansea University Author:
Mark Jones
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DOI (Published version): 10.1007/s00371-017-1384-7
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...
| Published in: | The Visual Computer |
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| ISSN: | 0178-2789 1432-2315 |
| Published: |
Springer Science and Business Media LLC
2017
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| Online Access: |
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| 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. |
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| Keywords: |
Image quality assessment; Error metric; Monte Carlo rendering |
| College: |
Faculty of Science and Engineering |
| Issue: |
6-8 |
| Start Page: |
705 |
| End Page: |
713 |