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SMART: a Light Field image quality dataset
Universita’ degli Studi Roma TRE, Italy.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)ORCID iD: 0000-0003-3751-6089
Universita’ degli Studi Roma TRE, Italy.
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2016 (English)In: Proceedings of the 7th International Conference on Multimedia Systems, MMSys 2016, Association for Computing Machinery (ACM), 2016, 374-379 p., 2910623Conference paper, Published paper (Refereed)
Abstract [en]

In this article, the design of a Light Field image datasetis presented. The availability of an image dataset is use-ful for design, testing, and benchmarking Light Field imageprocessing algorithms. As rst step, the image content se-lection criteria have been dened based on selected imagequality key-attributes, i.e. spatial information, colorfulness,texture key features, depth of eld, etc. Next, image sceneshave been selected and captured by using the Lytro IllumLight Field camera. Performed analysis shows that the con-sidered set of images is sucient for addressing a wide rangeof attributes relevant to assess Light Field image quality.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. 374-379 p., 2910623
Keyword [en]
Light Field imaging, Plenoptics, Quality of Experience, Content Attributes, SMART Light Field Dataset
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:miun:diva-27345DOI: 10.1145/2910017.2910623Scopus ID: 2-s2.0-84973902374Local ID: STCOAI: oai:DiVA.org:miun-27345DiVA: diva2:917010
Conference
7th ACM International Conference on Multimedia Systems, MMSys 2016; Klagenfurt; Austria; 10 May 2016 through 13 May 2016; Code 121613
Available from: 2016-04-05 Created: 2016-04-05 Last updated: 2017-08-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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