Depth perception is one of the most important characteristic in three-dimensional (3D) images different from traditional two-dimensional (2D) images. Therefore, 3D visual attention will be advantageous to improve 3D visual experience and particularly depth perception. In this paper, we propose a 3D visual attention model for stereoscopic image quality assessment task. The proposed model is constructed based on 2D saliency model, center bias, depth cue (foreground cue and background). Different

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... ombination and modulation means of the 3D visual attention model for quality assessment are investigated. The experimental results show that compared with other schemes, the proposed 3D visual attention-based pooling scheme can achieve higher consistency with the subjective assessment of stereoscopic images. Index Terms-3D visual attention, stereoscopic image quality assessment, saliency model, center bias, depth cue