Super-Multiview Content with High Angular Resolution: 3D Quality Assessment on Horizontal-Parallax Lightfield Display

Tamboli, R R and Appina, B and Channappayya, Sumohana and Jana, Soumya (2016) Super-Multiview Content with High Angular Resolution: 3D Quality Assessment on Horizontal-Parallax Lightfield Display. Signal Processing: Image Communication, 47. pp. 42-55. ISSN 0923-5965

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Abstract

The advent of glasses-free 3D super-multiview (SMV) displays has opened up new avenues for experiencing 3D content. Accordingly, perceptual quality assessment of such content assumes significance. In this context, we present the results of subjective and objective quality assessment of static 3D SMV content, conducted with twenty subjects on a glasses-free horizontal-parallax 3D lightfield display. First, we create a multiview image dataset using three real objects, with high angular resolution. The display system generates 3D views from fixed subsets of consecutive images. Next, we extend the standard guidelines of subjective assessment to our evaluation environment. In the course, we make recommendations on acquiring SMV data as well as conducting subjective evaluation. Subsequently, we observe that the existing 2D full-reference (FR) quality metrics, applied to individual 3D views, are inadequate for 3D quality assessment. To fill the gap, we propose a 3D FR objective quality metric. For every 3D view, the proposed metric combines spatial information from each constituent image and angular information (depth cues) from consecutive images. Finally, we show that the proposed metric correlates significantly with subjective scores, outperforming existing 2D metrics. The efficacy of pooling spatial and angular information highlights the fact that angular information plays a crucial role in 3D perception.

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IITH Creators:
IITH CreatorsORCiD
Channappayya, SumohanaUNSPECIFIED
Jana, SoumyaUNSPECIFIED
Item Type: Article
Uncontrolled Keywords: Full-reference 3D Quality Assessment; Subjective Evaluation; Lightfield Display; Pooling of multiple metrics
Subjects: Others > Electricity
Others > Electronic imaging & Singal processing
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 31 May 2016 06:06
Last Modified: 01 Sep 2017 06:10
URI: http://raiith.iith.ac.in/id/eprint/2423
Publisher URL: https://doi.org/10.1016/j.image.2016.05.010
OA policy: http://www.sherpa.ac.uk/romeo/issn/0923-5965/
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