An improved model of binocular energy calculation for full-reference stereoscopic image quality assessmentThis item is a favourite.pdf (376.27 kB)
An improved model of binocular energy calculation for full-reference stereoscopic image quality assessment
conference contribution
posted on 2017-02-24, 16:06 authored by G.C.V. Perera, Varuna De Silva, Ahmet Kondoz, Safak DoganSafak DoganWith the exponential growth of stereoscopic imaging in various applications, it has become very demanding to have a reliable quality assessment technique to measure the human perception of stereoscopic images. Quality assessment of stereoscopic visual content in the presence of artefacts caused by compression and transmission is a key component of end-to-end 3D media delivery systems. Despite a few recent attempts to develop stereoscopic image/video quality metrics, there is still a lack of a robust stereoscopic image quality metric. Towards addressing this issue, this paper proposes a full reference stereoscopic image quality metric, which mimics the human perception while viewing stereoscopic images. A signal processing model that is consistent with physiological literature is developed in the paper to simulate the behaviour of simple and complex cells of the primary visual cortex in the Human Visual System (HVS). The model is trained with two publicly available stereoscopic image databases to match the perceptual judgement of impaired stereoscopic images. The experimental results demonstrate a significant improvement in prediction performance as compared with several state-of-the-art stereoscopic image quality metrics.
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School
- Loughborough University London
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IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2014)Pages
594 - 598Citation
PERERA, G.C.V. ... et al, 2014. An improved model of binocular energy calculation for full-reference stereoscopic image quality assessment. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2014), 4th-9th May, Florence, Italy, pp.594-598Publisher
© IEEEVersion
- AM (Accepted Manuscript)
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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2014-05-04Publication date
2014Notes
© 2014 IEEE. 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.Publisher version
Language
- en
Location
Florence, ItalyAdministrator link
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