miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Towards the Perceptual Quality Evaluation of Compressed Light Field Images
Department of Engineering, Universit`a degli Studi Roma TRE, Italy.
Department of Engineering, Universit`a degli Studi Roma TRE, Italy.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)ORCID iD: 0000-0003-3751-6089
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
Show others and affiliations
2017 (English)In: IEEE transactions on broadcasting, ISSN 0018-9316, E-ISSN 1557-9611, Vol. 63, no 3, p. 507-522, article id 7938323Article in journal (Refereed) Published
Abstract [en]

Evaluation of perceived quality of light field images,as well as testing new processing tools, or even assessing the effectiveness of objective quality metrics, relies on the availabilityof test dataset and corresponding quality ratings. This article presents SMART light field image quality dataset. The dataset consists of source images (raw data without optical corrections), compressed images, and annotated subjective quality scores. Furthermore, analysis of perceptual effects of compression on SMART dataset is presented. Next, the impact of image content on the perceived quality is studied with the help of image quality attributes. Finally, the performances of 2D image quality metrics when applied to light field images are analyzed.

Place, publisher, year, edition, pages
2017. Vol. 63, no 3, p. 507-522, article id 7938323
Keywords [en]
Quality of Experience, Perceptuaal Quality, Light Field Image, Quality Metrics, Dataset
National Category
Information Systems Media and Communication Technology
Identifiers
URN: urn:nbn:se:miun:diva-30521DOI: 10.1109/TBC.2017.2704430ISI: 000410995700005Scopus ID: 2-s2.0-85029911746OAI: oai:DiVA.org:miun-30521DiVA, id: diva2:1085600
Available from: 2017-03-29 Created: 2017-03-29 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Sjöström, MårtenOlsson, Roger

Search in DiVA

By author/editor
Sjöström, MårtenOlsson, Roger
By organisation
Department of Information Systems and Technology
In the same journal
IEEE transactions on broadcasting
Information SystemsMedia and Communication Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 943 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf