• Conference paper

Subjective quality assessment study of KULF-TT53 dataset on a commercial light field display

Javidi, K. and Martini, M.G. 2025. Subjective quality assessment study of KULF-TT53 dataset on a commercial light field display. Visual Communications and Image Processing. Austria 01 - 04 Dec 2025 IEEE . https://doi.org/10.1109/VCIP67698.2025.11396857

TitleSubjective quality assessment study of KULF-TT53 dataset on a commercial light field display
AuthorsJavidi, K. and Martini, M.G.
TypeConference paper
Abstract

Light field displays enable immersive visual environments by delivering accurate depth and 3D representation
of the content. Due to the constrained viewing angle of light
field displays, the alignment between the angular coverage of
the captured scene with the field of view (FoV) of the display is essential. This paper employs the Looking Glass Factory light field display—with a 53-degree FoV—to visualize content captured at the same 53-degree angular extent provided in the KULF-TT53 light field dataset. In total, 77 stimuli are used in the test, comprising original contents and impaired version of them, which are encoded with HEVC, and AV1 at 1-5 Mbps bitrate range. Two subjective quality assessment metrics of MOS and DMOS are used to represent the obtained scores from the subjects. The evaluation of the results shows that AV1-encoded stimuli showcase better quality compared with HEVC, with statistically significant quality differences, at the considered bitrates. The per-subjects results of this study are made available upon publication of this work (Q-KULF-TT53 dataset).

KeywordsLight field visualization, FoV, Light field dataset, Subjective quality assessment, MOS.
Year2025
ConferenceVisual Communications and Image Processing
PublisherIEEE
Accepted author manuscript
File Access Level
Open (open metadata and files)
Publication dates
Published online24 Feb 2026
Published2025
ISBN9798331568672
Digital Object Identifier (DOI)https://doi.org/10.1109/VCIP67698.2025.11396857

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