Quality assessment of stereoscopic 3D images based on local and global visual characteristics
Lei Chen, Jiying Zhao · 2017
The quality assessment of stereoscopic images is playing a critical role in 3D multimedia applications. The 3D image quality evaluation encounters many challenges and simple extension of the 2D quality metrics to the 3D case is not satisfying. In this work, we propose a new perceptual quality assessment scheme for stereoscopic 3D images by considering the human visual characteristics. After the log-Gabor filter processing, the local amplitude and phase from the left and right views of the reference and distorted 3D images are utilized as features in local quality evaluation. Meanwhile, the global structure changes of the left and right views are also incorporated into the final quality pooling. The overall 3D quality score is obtained by combining the local and global quality indexes together. The effectiveness of the designed metric is verified on three public 3D image quality assessment databases. Experimental results demonstrate that the proposed scheme exhibits better performance than other related algorithms in terms of consistency with subjective assessment of stereoscopic 3D images.