Binocular energy response based quality assessment of stereoscopic images

Perceptual quality assessment in three-dimensional (3D) is challenging. In this research, we propose a binocular energy response based quality assessment metric of stereoscopic images. To be more specific, we first construct binocular energy responses of the original and distorted images, and measure the similarity between them as Image Quality Metric (IQM). Then, the binocular response and the binocular masking components are used to modulate the IQM, respectively. Finally, two evaluation results are nonlinearly integrated into an overall score by considering the importance of each component. Experimental results show that compared with the relevant existing metrics, the proposed metric can achieve higher consistency with the subjective assessment of stereoscopic image.