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Download fileA full-reference stereoscopic image quality metric based on binocular energy and regression analysis
conference contribution
posted on 2015-11-05, 14:36 authored by Chathura Galkandage, J. Calic, Varuna De Silva, Safak DoganSafak DoganThe 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.
History
School
- Loughborough University London