• DocumentCode
    2261055
  • Title

    Low-power subband coding algorithm

  • Author

    Farag, Emad N. ; Elmasry, Moharned I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    4
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    2116
  • Abstract
    This paper describes a video compression algorithm that has a reduced computational complexity. The subband video compression algorithm uses a simplified analysis/synthesis filter bank and a vector quantization coding algorithm. The use of the simplified analysis/synthesis filter banks reduces the power dissipation by 23 times over other algorithms at the expense of a 4 dB reduction in the signal to noise ratio. The vector quantization algorithm is a computational algorithm instead of the power consuming memory lookup algorithms
  • Keywords
    computational complexity; two-dimensional digital filters; vector quantisation; video coding; 4 dB; analysis/synthesis filter bank; low-power subband coding algorithm; power dissipation; reduced computational complexity; signal to noise ratio; simplified analysis/synthesis filter banks; subband video compression algorithm; vector quantization coding algorithm; Algorithm design and analysis; Computational complexity; Filter bank; Image reconstruction; Investments; Power dissipation; Signal synthesis; Vector quantization; Very large scale integration; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.545733
  • Filename
    545733