Stereoscopic image quality assessment method based on binocular combination saliency model.

The objective quality assessment of stereoscopic images plays an important role in three-dimensional (3D) technologies. In this paper, we propose an effective method to evaluate the quality of stereoscopic images that are afflicted by symmetric distortions. The major technical contribution of this paper is that the binocular combination behaviors and human 3D visual saliency characteristics are both considered. In particular, a new 3D saliency map is developed, which not only greatly reduces the computational complexity by avoiding calculation of the depth information, but also assigns appropriate weights to the image contents. Experimental results indicate that the proposed metric not only significantly outperforms conventional 2D quality metrics, but also achieves higher performance than the existing 3D quality assessment models. HighlightsAn effective 3D visual saliency model is proposed.A full-reference SIQA model is built based on human binocular characteristics.It has less computing complexity and higher consistency with the subjective values.It can precisely assess the quality of images with different types of distortions.