DIBR with content-adaptive filtering for 3D view

Depth Image Based Rendering (DIBR) is a well-known process for producing 3D views, which can synthesize a virtual view from images and their associated depth information. However, in an image owing to the abrupt change of the scene, the depth image may change rapidly to make the converting view have holes with different sizes and directions, and subsequently it affects qualities of the 3D view and may take more time for hole-filling. This paper presents a content-adaptive filtering technique to modify the depth map. A preprocessing that applies respective filter to different sizes and directions of holes is used to achieve the optimization of the depth map. As results, this method not only improves the 3D view quality and maintains the texture information, but also reduces the number of holes and the computing time on hole-filling.