Abstract:

Depth map images are characterized by large homogeneous areas and strong edges. It has been observed that efficient compression of the depth map is achieved by applying a down-sampling operation prior to encoding. However, since high resolution depth maps are also needed for depth-based 3D coding tools, such as view synthesis prediction, an upsampling method that is able to recover the loss of information is needed within this coding framework. In this paper, we analyze the impact of depth resampling on view synthesis quality and its interaction with other 3D coding tools, and propose an optimized combination of down- and up-sampling techniques for overall coding performance improvement. View synthesis with the resampled depth maps show the efficiency of our approach.