• DocumentCode
    3430859
  • Title

    A fixed-rate quantizer using block-based entropy-constrained quantization and run-length coding

  • Author

    Yu, Dongchang ; Marcellin, Michael W.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • fYear
    1997
  • fDate
    25-27 Mar 1997
  • Firstpage
    310
  • Lastpage
    316
  • Abstract
    A fast and efficient quantization technique is described. It is fixed-length, robust to bit errors, and compatible with most current compression standards. It is based on entropy-constrained quantization and uses the well-known and efficient Viterbi algorithm to force the coded sequence to be fixed-rate. Run-length coding techniques are used to improve the performance at low encoding rates. Simulation results show that it can achieve performance comparable to that of Huffman coded entropy-constrained scalar quantization with computational complexity increasing only linearly in block length
  • Keywords
    computational complexity; entropy codes; image coding; quantisation (signal); runlength codes; Viterbi algorithm; block-based entropy-constrained quantization; computational complexity; fixed-rate quantizer; image coding; low encoding rates; run-length coding; simulation results; Computational complexity; Computational modeling; Computer errors; Encoding; Entropy coding; Quantization; Rate-distortion; Robustness; Transform coding; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1997. DCC '97. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7761-9
  • Type

    conf

  • DOI
    10.1109/DCC.1997.582054
  • Filename
    582054