• DocumentCode
    579362
  • Title

    A scalable coding approach for high quality depth image compression

  • Author

    Li, Yun ; Sjöström, Mårten ; Jennehag, Ulf ; Olsson, Roger

  • Author_Institution
    Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
  • fYear
    2012
  • fDate
    15-17 Oct. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The distortion by using traditional video encoders (e.g. H.264) on the depth discontinuity can introduce disturbing effects on the synthesized view. The proposed scheme aims at preserving the most significant depth transition for a better view synthesis. Furthermore, it has a scalable structure. The scheme extracts edge contours from a depth image and represents them by chain code. The chain code and the sampled depth values on each side of the edge contour are encoded by differential and arithmetic coding. The depth image is reconstructed by diffusion of edge samples and uniform sub-samples from the low quality depth image. At low bit rates, the proposed scheme outperforms HEVC intra at the edges in the synthesized views, which correspond to the significant discontinuities in the depth image. The overall quality is also better with the proposed scheme at low bit rates for contents with distinct depth transition.
  • Keywords
    arithmetic codes; data compression; distortion; edge detection; error statistics; feature extraction; image reconstruction; video coding; H.264; HEVC; arithmetic coding; chain code; depth discontinuity; depth image reconstruction; depth transition; differential coding; distortion; edge contour extraction; edge diffusion; high quality depth image compression; low bit rate; low quality depth image; sampled depth value; scalable coding; video encoder; view synthesis; Bit rate; Decoding; Detectors; Encoding; Image coding; Image edge detection; Image reconstruction; 3DTV; Depth image coding; View synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), 2012
  • Conference_Location
    Zurich
  • ISSN
    2161-2021
  • Print_ISBN
    978-1-4673-4904-8
  • Electronic_ISBN
    2161-2021
  • Type

    conf

  • DOI
    10.1109/3DTV.2012.6365469
  • Filename
    6365469