An objective method for High Dynamic Range source content selection

Manish Narwaria, Claire Mantel, Matthieu Perreira Da Silva, Patrick Le Callet, Søren Forchhammer

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

With the aim of improving the immersive experience of the end user, High Dynamic Range (HDR) imaging has been gaining popularity. Therefore, proper validation and performance benchmarking of HDR processing algorithms is a key step towards standardization and commercial deployment. A crucial component of such validation studies is the selection of a challenging and balanced set of source (reference) HDR content. In order to facilitate this, we present an objective method based on the premise that a more challenging HDR scene encapsulates higher contrast, and as a result will show up more visible errors on contrast reduction. This information is subsequently analyzed via fuzzy clustering to enable a probabilistic interpretation. To evaluate the proposed approach, we performed an experimental study on a large set of publicly available HDR images.
Original languageEnglish
Title of host publicationProceedings of 2014 Sixth International Workshop on Quality of Multimedia Experience
PublisherIEEE
Publication date2014
Pages13-18
ISBN (Print)9781479965366
DOIs
Publication statusPublished - 2014
Event6th International Workshop on Quality of Multimedia Experience - Singapore, Singapore
Duration: 18 Sep 201420 Sep 2014

Conference

Conference6th International Workshop on Quality of Multimedia Experience
CountrySingapore
CitySingapore
Period18/09/201420/09/2014

Keywords

  • Communication, Networking and Broadcast Technologies
  • Computing and Processing
  • Signal Processing and Analysis
  • Algorithm design and analysis
  • clustering
  • Conferences
  • content selection
  • Dynamic range
  • High Dynamic Range (HDR)
  • Imaging
  • Multimedia communication
  • Probabilistic logic
  • Visualization

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