• DocumentCode
    1705904
  • Title

    Indexing the output points in a lattice based vector quantizer

  • Author

    Khataie, Manijeh ; Soleymani, M.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • Volume
    1
  • fYear
    1995
  • Firstpage
    152
  • Abstract
    A new method for indexing the codewords of a lattice based vector quantizer (LBVQ) is presented. With this method, a codebook with a large number of lattice points can be selected. As a result, the quality of the compressed image can be very high. For some images, our methods shows up to a 1.5 dB improvement in comparison with JPEG. This method is suitable for applications with moderate to high vector dimensions
  • Keywords
    data compression; discrete cosine transforms; image coding; transform coding; vector quantisation; DCT; LBVQ; codebook; image coding; image compression; lattice based vector quantizer; output points indexing; Bit rate; Hypercubes; Image coding; Indexing; Laplace equations; Lattices; Probability; Shape; Source coding; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 1995. Canadian Conference on
  • Conference_Location
    Montreal, Que.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-2766-7
  • Type

    conf

  • DOI
    10.1109/CCECE.1995.528097
  • Filename
    528097