• DocumentCode
    2166924
  • Title

    An Efficient Multiple-Description Image Coding on Wavelet

  • Author

    Liu, Zhidu ; Lu, Tailong

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Nanyang Normal Univ., Nanyang, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The objective of multiple description coding (MDC) is to solve the problem of unreliable channels by means of independent descriptions. This paper proposes an efficient two-description image coding scheme in the wavelet domain. Here, the two-layered MDC method is adopted. First, we partition the low-frequency wavelet coefficients into two groups, and pairwise correlating transform (PCT) was applied on the two groups to generate two new correlated groups as two basic descriptions, which are coded and transmitted through two separate channels. Second, we can get two enhanced descriptions from the high-frequency wavelet subbands by adaptive down-sampling. And finally we use the wavelet domain interpolation for tree reconstruction (WDIR) to conceal coefficients loss in spatial orientation tree of wavelet when one enhanced description lost during transmission. Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance.
  • Keywords
    image coding; image sampling; interpolation; trees (mathematics); wavelet transforms; adaptive down-sampling; low-frequency wavelet coefficient; multiple-description image coding; pairwise correlating transform; spatial orientation tree; tree reconstruction; wavelet domain interpolation; Decoding; Discrete cosine transforms; Educational institutions; Image coding; Image reconstruction; Interpolation; Karhunen-Loeve transforms; Propagation losses; Wavelet coefficients; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304529
  • Filename
    5304529