• DocumentCode
    1540060
  • Title

    A fast encoding algorithm for vector quantization

  • Author

    Baek, Seongjoon ; Jeon, BumKi ; Sung, Koeng-Mo

  • Author_Institution
    Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
  • Volume
    4
  • Issue
    12
  • fYear
    1997
  • Firstpage
    325
  • Lastpage
    327
  • Abstract
    In this letter, we present a fast encoding algorithm for vector quantization that uses two characteristics of a vector, mean, and variance. Although a similar method using these features was already proposed, it handles these features separately, On the other hand, the proposed algorithm utilizes these features simultaneously to save computation time all the more. Since the proposed algorithm rejects those codewords that are impossible to be the nearest codeword, it produces the same output as the conventional full search algorithm. The simulation results confirm the effectiveness of the proposed algorithm.
  • Keywords
    computational complexity; image coding; vector quantisation; codewords; computation time; equal average equal variance nearest neighbor search algorithm; equal average nearest neighbor search algorithm; fast encoding algorithm; images; mean; simulation results; variance; vector quantization; Acceleration; Bit rate; Computational complexity; Computational modeling; Encoding; Image coding; Nearest neighbor searches; Signal processing algorithms; Tree data structures; Vector quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.650035
  • Filename
    650035