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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/19302

Title: A full-reference stereoscopic image quality metric based on binocular energy and regression analysis
Authors: Galkandage, Chathura
Calic, J.
De Silva, Demuni V.S.X.
Dogan, Safak
Keywords: Human visual system
Binocular vision
Stereoscopic image quality metric
Issue Date: 2015
Publisher: © The Crown. Published by the IEEE
Citation: GALKANDAGE, C. ...et al., 2015. A full-reference stereoscopic image quality metric based on binocular energy and regression analysis. IN: 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), Lisbon, 8-10th July.
Abstract: The recent developments of 3D media technology have brought to life numerous applications of interactive entertainment such as 3D cinema, 3DTV and gaming. However, due to the data intensive nature of 3D visual content, a number of research challenges have emerged. In order to optimise the end-to-end content life-cycle, from capture to processing and delivery, Quality of Experience (QoE) has become a major driving factor. This paper presents a human-centric approach to quality estimation of 3D visual content. A full reference quality assessment method for stereoscopic images is proposed. It is based on a Human Visual System (HVS) model to estimate subjective scores of registered stereoscopic images subjected to compression losses. The model has been trained with four publicly available registered stereoscopic image databases and a fixed relationship between subjective scores and the model has been determined. The high correlation of the relationship over a large number of stimuli has proven its consistency over the state-of-the-art.
Description: Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
DOI: 10.1109/3DTV.2015.7169375
URI: https://dspace.lboro.ac.uk/2134/19302
Publisher Link: http://dx.doi.org/10.1109/3DTV.2015.7169375
ISBN: 978146738090415
Appears in Collections:Conference Papers (Loughborough University London)

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