No Cover Image

Journal article 563 views 2 downloads

Analysis of reported error in Monte Carlo rendered images / Mark, Jones

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

Swansea University Author: Mark, Jones

  • 2017_MC_Errorv2.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution License (CC-BY).

    Download (2.33MB)

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...

Full description

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
Tags: Add Tag
No Tags, Be the first to tag this record!
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: College of Science
Issue: 6-8
Start Page: 705
End Page: 713