Universal blind image quality assessment for stereoscopic images

Abstract : Quality assessment of stereoscopic 3D images is a challenging field and represents a key factor in the success of 3D multimedia applications. Despite the important research effort in the last few years, there is no commonly accepted metric ensuring a reliable 3D quality evaluation. This statement becomes even worse when it comes to asymmetrically distorted stereoscopic content. In this paper, we propose a universal blind quality assessment metric for stereoscopic images relying on: 1) distortion type detection and 2) asymmetry nature determination. Based of the latter key information, the 3D image quality is appropriately estimated using a binocular combination strategy. Experimental results showed that the proposed metric reached a significant prediction consistency and accuracy when compared with state-of-the-art metrics.
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Communication dans un congrès
3DTV-CON, Jul 2016, Hamburg, Germany
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https://hal.archives-ouvertes.fr/hal-01339854
Contributeur : Mohamed-Chaker Larabi <>
Soumis le : jeudi 30 juin 2016 - 09:59:17
Dernière modification le : vendredi 1 juillet 2016 - 12:19:25

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  • HAL Id : hal-01339854, version 1

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Sid Ahmed Fezza, Aladine Chetouani, Mohamed-Chaker Larabi. Universal blind image quality assessment for stereoscopic images. 3DTV-CON, Jul 2016, Hamburg, Germany. 〈hal-01339854〉

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