Distortion estimation for two-step view synthesis

In depth-image-based-rendering (DIBR), the quality of the synthesized virtual view depends on that of the depth maps in the reference views. In this paper, we develop a framework to estimate the distortion of the synthesized view when a simplified two-step warping algorithm is used and when there are random errors in the reference depth maps. A graph-based method is developed to obtain the depth and texture distributions in the synthesized view. Experimental results demonstrate the accuracy of the estimated distortion.