SMART: a Light Field image quality datasetShow others and affiliations
2016 (English)In: Proceedings of the 7th International Conference on Multimedia Systems, MMSys 2016, Association for Computing Machinery (ACM), 2016, p. 374-379, article id 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. p. 374-379, article id 2910623
Keywords [en]
Light Field imaging, Plenoptics, Quality of Experience, Content Attributes, SMART Light Field Dataset
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:miun:diva-27345DOI: 10.1145/2910017.2910623ISI: 000578285200049Scopus ID: 2-s2.0-84973902374Local ID: STCOAI: oai:DiVA.org:miun-27345DiVA, id: diva2:917010
Conference
7th ACM International Conference on Multimedia Systems, MMSys 2016; Klagenfurt; Austria; 10 May 2016 through 13 May 2016; Code 121613
2016-04-052016-04-052025-02-18Bibliographically approved