Hole Concealment for Depth Image Using Pixel Classification in Multiview System

Geon-Won Lee, Jong-Ki Han

Abstract: As the demand for immersive media increases, the importance of depth image is growing. As we see from the conventional researches, the depth images in the multiview camera system have holes around the objects, and it degrades the quality of the immersive video. To solve this problem, we propose an algorithm to conceal the hole in the depth image where the characteristics of the texture image are utilized. In the proposed algorithm, the holes are filled with the values predicted by the classification and confidence of pixels. The simulation results show that the proposed algorithm outperforms other conventional methods significantly.