Stereoscopic Image Generation Based on Weighted Iteration of Depth Image
In Depth-Image-Based-Rendering (DIBR) system, right images (left images) can be rendered by 3D-Warp. Howe ver, a large problem which is so-called disocclusion will exists in generated images. The previous work uses Gaussian filter to smooth depth maps to reduce the number of big holes, and then adopts an average filter to fill existing holes. However, lots of references show that this method will lead to geometric distortion at vertical edges in rendered images. In order to solve this problem, our paper proposes a weighted iteration method to blur the depth map, and then adopts the expansion method to fill holes. Experimental results demonstrate that the proposed method gets high quality in warped image and the PSNR is better than the previous.
depth images DIBR 3D-warp weighted iteration method PSNR
He Xi Xue-ming Li
Beijing University of Posts and Telecommunications, 100876, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
928-931
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)