Stereoscopic image quality assessment method based on binocular combination saliency model

Yun Liu, Jiachen Yang, Qinggang Meng, Zhihan Lv, Zhanjie Song, Zhiqun Gao
2016 Signal Processing  
Citation: LIU, Y. ... et al., 2016. Stereoscopic image quality assessment method based on binocular combination saliency model. Signal Processing, 125, Additional Information: • This paper was accepted for publication in the journal Signal Processing and the denitive published version is available at http://dx. Abstract 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
more » ... 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 calculate 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.
doi:10.1016/j.sigpro.2016.01.019 fatcat:76ncie44nbc7ti7ejfq7szazmu