No-reference objective stereo video quality assessment based on visual attention and edge difference

Abstract

No-reference objective stereo video quality assessment plays an important role in stereo video content production, especially to the sense of 2D-to-3D video conversion. The main problem needed to consider when designing an objective quality assessment model is to make the assessment result close to human perception. In this paper, a no-reference objective stereo video quality assessment method is proposed by taking consideration of visual attention and edge difference. For every frame in the given stereo video, the human interested regions and edge information are extracted separately. The edge information is used to calculate the blockiness, zero-crossing and disparity features for every block in the frames, and visual interested information determined the weights of each image block in the final assessment result calculation. Experimental results demonstrated the effectiveness of our proposed objective stereo video quality assessment method.