• DocumentCode
    3146519
  • Title

    A foreground biased depth map refinement method for DIBR view synthesis

  • Author

    Xu, Xuyuan ; Po, Lai-Man ; Cheung, Kwok-Wai ; Ng, Ka-Ho ; Wong, Ka-Man ; Ting, Chi-Wang

  • Author_Institution
    Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    805
  • Lastpage
    808
  • Abstract
    The performance of view synthesis using depth image based rendering (DIBR) highly depends on the accuracy of depth map. Inaccurate boundary alignment between texture image and depth map especially for large depth discontinuities always cause annoying artifacts in disocclusion regions of the synthesized view. Pre-filtering approach and reliability-based approach have been proposed to tackle this problem. However, pre-filtering approach blurs the depth map with drawback of degradation of the depth map and may also cause distortion in non-hole region. Reliability-based approach uses reliable warping information from other views to fill up holes and is not suitable for the view synthesis with single texture video such as video-plus-depth based DIBR applications. This paper presents a simple and efficient depth map preprocessing method with use of texture edge information to refine depth pixels around the large depth discontinuities. The refined depth map can make the whole texture edge pixels assigned with foreground depth values. It can significantly improve the quality of the synthesized view by avoiding incorrect use of foreground texture information in hole filling. The experimental results show the proposed method achieves superior performance for view synthesis by DIBR especially for large baseline.
  • Keywords
    distortion; image texture; reliability; video signal processing; DIBR view synthesis; depth pixels; distortion; foreground biased depth map refinement method; hole filling; large depth discontinuity; reliability-based approach; single texture video; texture edge information; video-plus-depth; Adaptive filters; Extrapolation; Filling; Image color analysis; Image edge detection; Rendering (computer graphics); Spirals; DIBR; Depth Map Refinement; View Synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288006
  • Filename
    6288006