• DocumentCode
    975434
  • Title

    Combining the discrete wavelet transform and mixed-domain filtering

  • Author

    Lazar, Michael S. ; Bruton, Leonard T.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
  • Volume
    5
  • Issue
    7
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    1124
  • Lastpage
    1136
  • Abstract
    A novel filtering method is proposed that combines the discrete orthogonal wavelet transform (DWT) with the mixed-domain (mixed-D) filtering method. The method uses the DWT to pre- and postprocess those dimensions of the signal that are transformed to the discrete-frequency domain by mixed-D filtering. Using the DWT in this manner provides a controlled mechanism to partition the spectrum of the input signal into subband signals, which then may be selectively filtered during the linear difference equation (LDE) step of the mixed-D algorithm. It is shown that, when the DWT is computed using filters with ideal high- and lowpass frequency responses, the LDE filters used in the mixed-D filtering stage are unchanged by the introduction of the DWT (although the frequency tuple associated with each LDE filter is altered). This indicates that the mixed-D filtering scheme can be easily used in subband coding systems. Results are given for the filtering of a three-dimensional (3-D) linear trajectory signal, representing a common application in video processing
  • Keywords
    filtering theory; spectral analysis; transform coding; transforms; video coding; wavelet transforms; 3D linear trajectory signal; DWT; discrete orthogonal wavelet transform; frequency tuple; highpass frequency response; input signal spectrum; linear difference equation; lowpass frequency response; mixed domain filtering method; signal dimensions; subband coding systems; subband signals; video processing; Difference equations; Discrete Fourier transforms; Discrete wavelet transforms; Energy resolution; Filtering; Frequency; Nonlinear filters; Partitioning algorithms; Signal processing; Signal resolution; Spatial resolution;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.502392
  • Filename
    502392