A perceptual metric for stereoscopic image quality assessment based on the binocular energy

Rafik Bensalma 1 Mohamed-Chaker Larabi 1, *
* Auteur correspondant
1 XLIM-SIC - SIC
Université de Poitiers, XLIM - XLIM
Abstract : Stereoscopic imaging is becoming very popular and its deployment by means of photography, television, cinema. . .is rapidly increasing. Obviously, the access to this type of images imposes the use of compression and transmission that may generate artifacts of different natures. Consequently, it is important to have appropriate tools to measure the quality of stereoscopic content. Several studies tried to extend well-known metrics, such as the PSNR or SSIM, to 3D. However, the results are not as good as for 2D images and it becomes important to have metrics dealing with 3D perception. In this work, we propose a full reference metric for quality assessment of stereoscopic images based on the binocular fusion process characterizing the 3D human perception. The main idea consists of the development of a model allowing to reproduce the binocular signal generated by simple and complex cells, and to estimate the associated binocular energy. The difference of binocular energy has shown a high correlation with the human judgement for different impairments and is used to build the Binocular Energy Quality Metric (BEQM). Extensive experiments demonstrated the performance of the BEQM with regards to literature.
Type de document :
Article dans une revue
Multidimensional Systems and Signal Processing, Springer Verlag, 2012, 23 (1-2), pp.1-36. <10.1007/s11045-012-0178-3>
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https://hal.archives-ouvertes.fr/hal-00710801
Contributeur : Mohamed-Chaker Larabi <>
Soumis le : jeudi 21 juin 2012 - 15:56:28
Dernière modification le : lundi 13 octobre 2014 - 15:43:25

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Rafik Bensalma, Mohamed-Chaker Larabi. A perceptual metric for stereoscopic image quality assessment based on the binocular energy. Multidimensional Systems and Signal Processing, Springer Verlag, 2012, 23 (1-2), pp.1-36. <10.1007/s11045-012-0178-3>. <hal-00710801>

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