Dual Edge-Confined Ipainting of 3D Depth Map Using Color Image’s Edges and Depth Image’s Edges

• Main Authors: Ming-Fu Hung, 洪明富
• Other Authors: Shaou-Gang Miaou
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/75747292238470736332

碩士 === 中原大學 === 通訊工程碩士學位學程 === 100 === Currently, most 3D formats adopt the approach of 2D plus depth map. Thus, many papers discuss depth maps, including how to inpaint them. When inpainted, the main focus is on edge areas because poor edges in depth maps will result in two problems: (1) There will be holes in 3D images after image synthesis; (2) When synthesized for other views, an edge mismatch may create some visual defect at the occlusion part of the images. In this thesis, we propose a method to enhance the consistency between a color image and its depth map. With 2D color image’s edges and depth map’s edges, the proposed method finds the areas where the edges do not match, and uses a dual edge-confined inpainting technique to inpaint the edge-mismatched areas. The inpainting technique exploits the relationship between edges and objects in color image and depth map, and conducts inpainting directionally, where a depth map is inpainted at the inconsistent part between a depth map and its corresponding color image to improve the quality of the depth map. The experimental results show that the proposed method enhances the degree of matching consistency between the edges of depth map and its corresponding image. In addition, after de-blocking in traditional coding the proposed method increases the PSNR value of the depth map for QP less than 30, and achieves the comparable performance to that obtain by using the trilateral filter plus SD algorithm which also uses color image and depth map information.