• DocumentCode
    3461787
  • Title

    A spatial-domain error concealment method with edge recovery and selective directional interpolation

  • Author

    Kung, Wei-Ying ; Kim, Chang-Su ; Kuo, C. C Jay

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    5
  • fYear
    2003
  • fDate
    6-10 April 2003
  • Abstract
    A low complexity spatial-domain error concealment method is proposed to reconstruct still images and intra-coded (I) frames in video when they are transmitted through unreliable channels. The proposed concealment algorithm works with the following steps. First, missing edges in a lost macroblock (MB) are detected and recovered using gradient data. Then, the lost MB is implicitly divided into several segments along the recovered edges. Finally, each pixel in a segment is directionally interpolated from boundary pixels adjacent to the segment. Experimental results show that the proposed algorithm can recover high as well as low frequency information in lost MBs and provide better visual quality in comparison with the conventional spatial domain interpolation.
  • Keywords
    Internet; computational complexity; edge detection; error correction; gradient methods; image reconstruction; image segmentation; interpolation; video signal processing; visual communication; edge detection; edge recovery; gradient data; intra-coded frames; macroblock; selective directional interpolation; spatial-domain error concealment; still image reconstruction; unreliable channels; video I-frames; Frequency; Fuzzy logic; Image edge detection; Image reconstruction; Image segmentation; Interpolation; Partitioning algorithms; Propagation losses; Quality of service; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7663-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2003.1200067
  • Filename
    1200067