dc.contributor.author | Andersson, Pontus | en_US |
dc.contributor.author | Nilsson, Jim | en_US |
dc.contributor.author | Shirley, Peter | en_US |
dc.contributor.author | Akenine-Möller, Tomas | en_US |
dc.contributor.editor | Theisel, Holger and Wimmer, Michael | en_US |
dc.date.accessioned | 2021-04-09T18:20:26Z | |
dc.date.available | 2021-04-09T18:20:26Z | |
dc.date.issued | 2021 | |
dc.identifier.isbn | 978-3-03868-133-5 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | https://doi.org/10.2312/egs.20211015 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20211015 | |
dc.description.abstract | 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. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Rendering | |
dc.subject | General and reference | |
dc.subject | Metrics | |
dc.title | Visualizing Errors in Rendered High Dynamic Range Images | en_US |
dc.description.seriesinformation | Eurographics 2021 - Short Papers | |
dc.description.sectionheaders | Imaging and Video | |
dc.identifier.doi | 10.2312/egs.20211015 | |
dc.identifier.pages | 25-28 | |