• DocumentCode
    2932158
  • Title

    A novel spatial information recovery algorithm based on fuzzy clustering in H.264

  • Author

    Shen, Han ; Zhu, Xiu-chang

  • Author_Institution
    Nanjing Univ. of Posts & Telecommun., Nanjing
  • fYear
    2007
  • fDate
    Nov. 28 2007-Dec. 1 2007
  • Firstpage
    116
  • Lastpage
    119
  • Abstract
    As no reference frame can be obtained in Intra-frame error concealment, reducing the degradation of spatial reconstructed image is one of the key techniques in error concealment. In this paper, a novel spatial error concealment algorithm based on fuzzy clustering for Intra-frame in H.264 is proposed. This proposed algorithm gives a new selection of eigenvectors and similarity measurement for fuzzy clustering. The experimental results show that the proposed algorithm can improve the edge details, achieve a better subjective quality of the recovered image and increase PSNR (Peak Signal-to-Noise Ratio) as well.
  • Keywords
    fuzzy set theory; image reconstruction; video coding; H.264; PSNR; fuzzy clustering; intra-frame error concealment; peak signal-to-noise ratio; spatial error concealment; spatial information recovery algorithm; spatial reconstructed image; Clustering algorithms; Degradation; Discrete cosine transforms; Frequency; Fuzzy systems; Image reconstruction; PSNR; Resilience; Signal processing algorithms; Video sequences; Fuzzy set; H.264; Intra-frame; error concealment; fuzzy clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-1447-5
  • Electronic_ISBN
    978-1-4244-1447-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2007.4445837
  • Filename
    4445837