• DocumentCode
    1456852
  • Title

    Integer-modulated FIR filter banks for image compression

  • Author

    Bi, M. ; Ong, S.H. ; Ang, Y.H.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    8
  • Issue
    8
  • fYear
    1998
  • fDate
    12/1/1998 12:00:00 AM
  • Firstpage
    923
  • Lastpage
    927
  • Abstract
    A method for designing perfect-reconstruction M-channel integer-modulated filter banks (IMFBs) is proposed. Given the filter coefficient word length, many IMFBs satisfying the perfect reconstruction conditions can be obtained. Methods to select the best IMFB for the purpose of image compression are studied, and it is demonstrated that the IMFB obtained by maximizing the coding gain is the most suitable for image coding. Simulation results show that the PSNR of the integer-modulated FIR filter bank designed by maximizing the coding gain with the AR(1) model is close to that of the real-valued cosine-modulated filter bank of the same order
  • Keywords
    FIR filters; channel bank filters; data compression; digital filters; image coding; image reconstruction; modulation; transform coding; wavelet transforms; AR(1) model; M-channel modulated wavelet filter banks; PSNR; coding gain; filter coefficient word length; image coding; image compression; integer-modulated FIR filter banks; perfect reconstruction conditions; real-valued cosine-modulated filter bank; simulation results; wavelet transform coding; Bismuth; Channel bank filters; Delay; Design methodology; Filter bank; Finite impulse response filter; Image coding; Image reconstruction; Signal synthesis; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.736717
  • Filename
    736717