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.
Type de document :
Communication dans un congrès
3DTV-CON, Jul 2016, Hamburg, Germany
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Contributeur : Mohamed-Chaker Larabi <>
Soumis le : jeudi 30 juin 2016 - 09:59:17
Dernière modification le : jeudi 11 janvier 2018 - 06:27:35


  • HAL Id : hal-01339854, version 1


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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