• DocumentCode
    3265898
  • Title

    Optimal bit allocation for biorthogonal wavelet coding

  • Author

    Usevitch, Bryan

  • Author_Institution
    Dept. Electr. & Comput. Eng., Texas Univ., El Paso, TX, USA
  • fYear
    1996
  • fDate
    Mar/Apr 1996
  • Firstpage
    387
  • Lastpage
    395
  • Abstract
    This paper shows how to derive bit allocations for biorthogonal wavelet coders which result in minimum reconstruction error. It is shown that the effect of using biorthogonal filters is to weight the amount of quantization error which appears in the reconstructed output. The amount of weighting can be determined from the biorthogonal filters used and is a measure of the closeness of the biorthogonal filters to the class of orthogonal filters. Once the weights are computed, they can be used to derive bit allocations which minimize the output mean square error (MSE). These results extend previous results since no bit allocation procedures have been proposed for biorthogonal wavelet coders which minimize the MSE
  • Keywords
    digital filters; image coding; image reconstruction; least mean squares methods; transform coding; wavelet transforms; biorthogonal filters; biorthogonal wavelet coder; biorthogonal wavelet coding; minimum reconstruction error; optimal bit allocation; output mean square error; quantization error; weighting; Bit rate; Commercialization; Computer errors; Fingerprint recognition; Image coding; Image reconstruction; Mean square error methods; Nonlinear filters; Quantization; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 1996. DCC '96. Proceedings
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-8186-7358-3
  • Type

    conf

  • DOI
    10.1109/DCC.1996.488344
  • Filename
    488344