• DocumentCode
    1798870
  • Title

    Dictionary based hole filling with assistance of depth

  • Author

    Yiguo Qiao ; Cheolkon Jung

  • Author_Institution
    Int. Res. Center for Intell. Perception & Comput., Xidian Univ., Xi´an, China
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Depth-image-based-rendering (DIBR) has received much attention in recent years as a promising technology for 3DTV systems. However, holes are inevitable in DIBR during the view synthesis procedure because the scene area, which has been occluded in the reference image, become visible in the synthesized virtual view. In this paper, we propose dictionary based hole filling with the assistance of depth. Because holes generally come from background area, we first segment background from foreground with the assistance of depth. Then, we construct a dictionary for hole filling from background. Finally, we employ the dictionary to fill holes in the synthesized virtual view. Experimental results demonstrate that the proposed method achieves good performance in hole filling in terms of visual quality and quantitative measures.
  • Keywords
    image colour analysis; image segmentation; rendering (computer graphics); signal synthesis; three-dimensional television; 3DTV system; DIBR; background segmentation; depth assistance; depth-image-based-rendering; dictionary based hole filling; reference color image visual quality; synthesized virtual view; Color; Dictionaries; Image resolution; Indexes; Interviews; Stereo image processing; Visualization; 3DTV; depth-assistance; depth-image-based-rendering (DIBR); dictionary learning; hole filling; sparse representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ICME.2014.6890181
  • Filename
    6890181