• DocumentCode
    1795384
  • Title

    Adaptive depth map enhancement based on joint bilateral filter

  • Author

    Feng, C. ; Dai, S.L.

  • Author_Institution
    State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    2568
  • Lastpage
    2571
  • Abstract
    In this paper, we present a method to enhance the noisy depth map. Firstly, we use joint bilateral filter to smooth noise and recover the lost region in depth map, and extract a detail layer by subtracting a base layer from the filtered depth map, then we amplify the detail layer adaptively. Finally, our method will yield the output depth map by adding the detail layer amplified to the base layer. Experimental results show better performance in improving the quality of depth map, our method not only enhances the details, but also recovers the lost region and reduces the noise in depth map.
  • Keywords
    computer vision; feature extraction; image denoising; image enhancement; image filtering; smoothing methods; adaptive depth map enhancement; adaptive detail layer amplification; depth map lost region recovery; depth map quality; detail enhancement; detail layer extraction; filtered depth map; joint bilateral filter; noise reduction; noise smoothing; noisy depth map enhancement; Color; Information filters; Joints; Noise; Smoothing methods; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007571
  • Filename
    7007571