• DocumentCode
    86765
  • Title

    Fusion of Median and Bilateral Filtering for Range Image Upsampling

  • Author

    Qingxiong Yang ; Ahuja, Narendra ; Ruigang Yang ; Kar-Han Tan ; Davis, J. ; Culbertson, Bruce ; Apostolopoulos, John ; Gang Wang

  • Author_Institution
    Dept. of Comput. Sci., City Univ. of Hong Kong, Hong Kong, China
  • Volume
    22
  • Issue
    12
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    4841
  • Lastpage
    4852
  • Abstract
    We present a new upsampling method to enhance the spatial resolution of depth images. Given a low-resolution depth image from an active depth sensor and a potentially high-resolution color image from a passive RGB camera, we formulate it as an adaptive cost aggregation problem and solve it using the bilateral filter. The formulation synergistically combines the median and bilateral filters thus it better preserves the depth edges and is more robust to noise. Numerical and visual evaluations on a total of 37 Middlebury data sets demonstrate the effectiveness of our method. A real-time high-resolution depth capturing system is also developed using commercial active depth sensor based on the proposed upsampling method.
  • Keywords
    image colour analysis; image enhancement; image resolution; image sampling; image sensors; median filters; sensor fusion; active depth sensor; adaptive cost aggregation problem; bilateral filtering; high-resolution color image; low-resolution depth image; median filtering; passive RGB camera; range image upsampling; real-time high-resolution depth capturing system; sensor fusion; spatial resolution enhancement; Image color analysis; Image edge detection; Joints; Kernel; Noise; Robustness; Spatial resolution; GPU; Sensor fusion; bilateral filter; weighted median filter;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2013.2278917
  • Filename
    6582517