• DocumentCode
    669819
  • Title

    Spatial domain complexity reduction method for depth image based rendering using wavelet transform

  • Author

    Chih-Hsien Hsia ; Wei-Han Cheng ; Hsin-Ting Li ; Jen-Shiun Chiang

  • Author_Institution
    Dept. of Electr. Eng., Chinese Culture Univ., Taipei, Taiwan
  • fYear
    2013
  • fDate
    12-15 Nov. 2013
  • Firstpage
    263
  • Lastpage
    268
  • Abstract
    Depth Image Based Rendering (DIBR) is an approach to generate a 3-D image by the original 2-D color image with the corresponding 2-D depth map. Although DIBR is a quite convenient technique of converting 2D to 3D images, there is a big problem in DIBR system that it cannot reach real-time processing due to the computing time. Therefore, this paper proposes a method based on discrete wavelet transform and adaptive edge-oriented smoothing process to improve the computing time of the system. The proposed method also preserves the original texture. As a results, this indicate that the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system.
  • Keywords
    image colour analysis; image texture; rendering (computer graphics); wavelet transforms; 2-D color image; 3-D image; DIBR system; adaptive edge-oriented smoothing process; computing time; corresponding 2-D depth map; depth image based rendering; spatial domain complexity reduction method; vertical texture; wavelet transform; Adaptive filters; Color; Discrete wavelet transforms; Image resolution; Information filters; Smoothing methods; Asymmetric Smoothing Filter; DIBR; DWT; Image Warping; Symmetric Smoothing Filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
  • Conference_Location
    Naha
  • Print_ISBN
    978-1-4673-6360-0
  • Type

    conf

  • DOI
    10.1109/ISPACS.2013.6704558
  • Filename
    6704558