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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 and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
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2017 (English)In: IEEE transactions on broadcasting, ISSN 0018-9316, E-ISSN 1557-9611Article in journal (Refereed) Accepted
Abstract [en]

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

Place, publisher, year, edition, pages
IEEE, 2017.
Keyword [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-30521OAI: oai:DiVA.org:miun-30521DiVA: diva2:1085600
Available from: 2017-03-29 Created: 2017-03-29 Last updated: 2017-03-29

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CiteExportLink to record
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  • apa
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