Edge-preserving interpolation for down/up sampling-based depth compression

Preserving the edges in depth compression is important for improving the synthesized view quality, this paper presents a novel edge-preserving depth up-sampling method for down/up sampling-based depth coding using both the texture and depth information. We take into account the edge similarity between depth maps and their corresponding texture images as well as the structural similarity among depth maps to build a weight model. Based on the weight model, the optimal MMSE up-sampling coefficients are estimated from the local covariance coefficients of the down-sampled depth map. Experimental results show that our proposed interpolation method for down/up sampling-based depth coding improves both the coding efficiency and synthesized view quality.