• DocumentCode
    319545
  • Title

    Image compression using integer-modulated subband filters

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    1997
  • fDate
    9-12 Sep 1997
  • Firstpage
    495
  • Abstract
    In this paper, the sufficient conditions for designing error-free integer-modulated filter banks is proposed. The methods for selecting the best filter bank for the purpose of data compression from a large number of candidates satisfying the sufficient perfect reconstruction conditions are also extensively studied. The ability of image compression using the resulting filter banks are tested. The simulation results show that the integer-modulated filter banks obtained by maximizing the coding gain based the AR(1) signal model performs very closely to the real-valued modulated subband filter banks
  • Keywords
    data compression; filtering theory; image coding; modulation; AR(1) signal model; coding gain; data compression; error-free integer-modulated filter banks; image compression; integer-modulated subband filters; perfect reconstruction conditions; simulation results; sufficient conditions; Bismuth; Data compression; Filter bank; Image coding; Image reconstruction; Modulation coding; Prototypes; Signal synthesis; Speech coding; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
  • Print_ISBN
    0-7803-3676-3
  • Type

    conf

  • DOI
    10.1109/ICICS.1997.647147
  • Filename
    647147