Depth-Image-Based Rendering (DIBR) Using Disocclusion Area Restoration

The embodiment of 3D display has been evolving from stereoscopic 3D system into mufti-view 3D system, which provides images corresponding to the different visual points. Currently because of input source format such as two dimensional image, mufti-view display system needs technology to generate virtual view images of multi visual points. Due to the changes in the visual points, occlusion region of the original image becomes disoccluded area, resulting in problem to restore the output image information which is exclusive of input image. This paper proposes the method for generation of mufti-view images through two steps which are depth map refinement and disocclusion area estimation and restoration. The first step 'depth map refinement' removes depth map noise and compensates mismatches between RGB and depth, preserving boundaries and object shape. The second step 'the disocclusion area estimation and restoration' predicts disocclusion area using disparity and restore information of the area using neighbor frame's information which is the most similar with occlusion area.