• DocumentCode
    1806240
  • Title

    A Novel Multiple Description Coding Frame Based on Reordered DCT Coefficients and SPIHT Algorithm

  • Author

    Tang, Lin-Lin ; Lu, Zhe-Ming ; Yu, Fa-Xin

  • Author_Institution
    Shenzhen Grad. Sch., Electron. & Commun. Dept., Harbin Inst. of Technol., Shenzhen, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    71
  • Lastpage
    74
  • Abstract
    A novel MDC algorithm based on discrete cosine transform (DCT) and the set partition in hierarchical trees (SPIHT) is proposed in this paper. Different from the commonly used DCT algorithm, all the transformed coefficients are reshaped into the wavelet decomposition structure to facilitate the use of the SPIHT algorithm. Then the direction-based information is used to form the three different channels. By using different bit rates to encode the information from three different orientations, i.e., vertical, horizontal and diagonal directions, the redundancy is introduced into the three channels. Every channel contains the hybrid information from three different directions. Experimental results show the advantages of this novel algorithm and the theoretical analysis has also been studied.
  • Keywords
    discrete cosine transforms; encoding; trees (mathematics); MDC algorithm; SPIHT algorithm; discrete cosine transform; hierarchical trees; multiple description coding; reordered DCT coefficients; set partition; wavelet decomposition structure; Algorithm design and analysis; Bit rate; Compression algorithms; Discrete cosine transforms; Discrete wavelet transforms; Energy resolution; Information security; Partitioning algorithms; Process design; Quantization; Discrete Cosine Transform (DCT); Multiple Description Coding (MDC); Set Partitioning In Hierarchical Tree (SPIHT); Wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.56
  • Filename
    5283368