Quality Assessment Based on Edge and Saliency for Synthesized Virtual View

Abstract

In multi-view video technology based on DIBR, virtual view quality assessment is more difficult question due to the virtual view's special distortion. Virtual view synthesized by depth estimation reference software (DERS) and view synthesis reference software (VSRS) has relationship with adjacent views. The main distortion in virtual view occurs on the edge, so we extract edges synthesized by adjacent views edge information and the corresponding depth map. In this paper we compared the edge information of virtual view and combined with stereoscopic visual saliency prediction to assess virtual view quality. Experiments proved that the results of this metric are advantageous and consistent with human visual perception.