Using Distortion and Asymmetry Determination for Blind Stereoscopic Image Quality Assessment Strategy

Abstract : Predicting the perceived quality of stereoscopic 3D images is a challenging task, especially when the stereo-pair is asymmetrically distorted. Despite the considerable efforts to fix this issue, there is no commonly accepted metric. Most of the attempts consisted in developing full reference quality metrics, while very few efforts have been dedicated to blind/no-reference (NR) quality assessment of stereoscopic images. In this paper, we propose a blind/NR quality assessment strategy for stereoscopic images based on the identification of the distortion type in order to select the most efficient impairment measure in addition to the determination of whether a stereo-pair is symmetrically or asymmetrically distorted to account for the binocular fusion properties. Finally, the last step combines the two key information derived from previous steps and estimates the 3D image quality appropriately using different binocular combination strategies. Experimental results on four publicly available 3D image quality assessment databases showed that the proposed strategy reaches significant prediction consistency and accuracy when compared to state-of-the-art metrics.
Type de document :
Article dans une revue
Journal of Visual Communication and Image Representation, Elsevier, 2017, 〈10.1016/j.jvcir.2017.08.009〉
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https://hal.archives-ouvertes.fr/hal-01578306
Contributeur : Mohamed-Chaker Larabi <>
Soumis le : mardi 29 août 2017 - 01:27:24
Dernière modification le : lundi 25 septembre 2017 - 17:02:01

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Sid Ahmed Fezza, Aladine Chetouani, Mohamed-Chaker Larabi. Using Distortion and Asymmetry Determination for Blind Stereoscopic Image Quality Assessment Strategy. Journal of Visual Communication and Image Representation, Elsevier, 2017, 〈10.1016/j.jvcir.2017.08.009〉. 〈hal-01578306〉

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