• DocumentCode
    2279629
  • Title

    Depth map compression via edge-based inpainting

  • Author

    Chen, Jinghui ; Ye, Feng ; Di, Jinhong ; Liu, Chun ; Men, Aidong

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    7-9 May 2012
  • Firstpage
    57
  • Lastpage
    60
  • Abstract
    This work presents a novel intra-frame coding scheme for depth maps that makes use of the characteristics of depth images: large smooth areas separated by sharp edges. The proposed method is block-based, thus can be easily integrated into H.264/AVC framework. By using the extracted edge information, each block is divided into several regions and each region is handled independently. Most regions are predicted via image inpainting based on the Laplace equation. The others that could not be inpainted are predicted by their mean values or a default value. Both the extracted edge information and the mean values are compressed under the rate-distortion (RD) optimization principle. Compared with H.264/AVC, the results show that the proposed scheme achieves both PSNR gain in depth maps and visual quality improvement in rendered views.
  • Keywords
    Laplace equations; data compression; edge detection; optimisation; rate distortion theory; video coding; H.264/AVC; Laplace equation; RD optimization; depth images; depth map compression; edge-based inpainting; image inpainting; intra-frame coding scheme; rate distortion optimization; Encoding; Image coding; Image edge detection; Laplace equations; PSNR; Prediction algorithms; Three dimensional displays; depth map; edge detection; image inpainting; intra prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium (PCS), 2012
  • Conference_Location
    Krakow
  • Print_ISBN
    978-1-4577-2047-5
  • Electronic_ISBN
    978-1-4577-2048-2
  • Type

    conf

  • DOI
    10.1109/PCS.2012.6213285
  • Filename
    6213285