Analysis of reported error in Monte Carlo rendered images.
Vis Comput
; 33(6): 705-713, 2017.
Article
in En
| MEDLINE
| ID: mdl-30930515
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 is a common method to provide a baseline with which to compare experimental results. We show that if not chosen carefully, the quality of reference images used for image quality assessment 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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Language:
En
Journal:
Vis Comput
Year:
2017
Document type:
Article
Affiliation country:
United kingdom