Visualizing Errors in Rendered High Dynamic Range Images

Pontus Andersson, Jim Nilsson, Peter Shirley, Tomas Akenine-Möller

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceedingPeer review

Sammanfattning

A new error metric targeting rendered high dynamic range images is presented. Our method computes a composite visualization over a number of low dynamic range error maps of exposure compensated and tone mapped image pairs with automatically computed, or manually provided, parameters. We argue that our new error maps predict errors substantially better than metrics previously used in rendering. Source code is released with the hope that our work can be a useful tool for future research.
Originalspråkengelska
Titel på värdpublikationConference of the European Association for Computer Graphics (Eurographics) Short Papers
FörlagEurographics - European Association for Computer Graphics
ISBN (tryckt)978-3-03868-133-5
DOI
StatusPublished - 2021 maj 3

Ämnesklassifikation (UKÄ)

  • Datavetenskap (datalogi)
  • Datorseende och robotik (autonoma system)

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