• DocumentCode
    294740
  • Title

    Subband image coding with jointly optimized quantizers

  • Author

    Kossentini, Faouzi ; Chung, Wilson C. ; Smith, Mark J T

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    4
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    2221
  • Abstract
    An iterative design algorithm for the joint design of complexity and entropy-constrained subband quantizers and associated entropy coders is proposed. Unlike conventional subband design algorithms, the proposed algorithm does not require the use of various bit allocation algorithms. Multistage residual quantizers are employed because they provide greater control of the complexity-performance tradeoffs, and also because they allow efficient and effective high-order statistical modeling. The resulting subband coder exploits statistical dependencies within subbands, across subbands, and across stages, mainly through complexity-constrained high-order entropy coding. Experimental results demonstrate that the complexity-rate-distortion performance of the new subband coder is exceptional
  • Keywords
    computational complexity; entropy codes; image coding; iterative methods; optimisation; rate distortion theory; complexity-constrained high-order entropy coding; complexity-constrained subband quantizers; complexity-performance tradeoff; complexity-rate-distortion performance; entropy coders; entropy-constrained subband quantizers; iterative design algorithm; jointly optimized quantizers; multistage residual quantizers; statistical dependencies; statistical modeling; subband coder; subband image coding; Algorithm design and analysis; Bit rate; Design engineering; Encoding; Entropy coding; Image coding; Iterative algorithms; Lagrangian functions; Process design; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479918
  • Filename
    479918