Quality Assessment for Virtual View Image Based on Edge Difference

In order to reduce the transmission data in the multi-view video, the number of multi-views can be decreased properly which include texture images and depth maps, and the intermediate virtual views are generated based on Depth Image Based Rendering (DIBR) at terminal for rendering on 3D displays. Generally, the view synthesis increases the high frequency components on the edge due to inaccurate estimation of the depth map, occlusion and synthesis algorithms. Conventional 2D image quality metric is difficult to reflect the virtual view distortion. In this paper, quality evaluation method based on the edge difference is proposed. Based on the analysis of the pixel difference between virtual and original views, each difference pixel is classified and assigned a visual weight, and higher weights applied to the edge pixels. Experiments for multi-view video sequences prove that the results of this metric are in accordance with characteristic of human visual system.