• DocumentCode
    750157
  • Title

    Subband coding of images using asymmetrical filter banks

  • Author

    Egger, Olivier ; Li, Wei

  • Author_Institution
    Signal Process. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • Volume
    4
  • Issue
    4
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    478
  • Lastpage
    485
  • Abstract
    We address the problem of the choice of subband filters in the context of image coding. The ringing effects that occur in subband-based compression schemes are the major unpleasant distortions. A new set of two-band filter banks suitable for image coding applications is presented. The basic properties of these filters are linear phase, perfect reconstruction, asymmetric length, and maximum regularity. The better overall performances compared to the classical QMF subband filters are explained. The asymmetry of the filter lengths results in a better compaction of the energy, especially in the highpass subbands. Moreover, the quantization error is reduced due to the short lowpass synthesis filter. The undesirable ringing effect is considerably reduced due to the good step response of the synthesis lowpass filter. The proposed design takes into account the statistics of natural images and the effect of quantization errors in the reconstructed images, which explains the better coding performance
  • Keywords
    band-pass filters; data compression; delay circuits; digital filters; filtering theory; image coding; low-pass filters; quantisation (signal); asymmetric length; asymmetrical filter banks; distortions; highpass subbands; image coding; image reconstruction; image statistics; linear phase filters; lowpass synthesis filter; maximum regularity; perfect reconstruction; quantization error; ringing effects; step response; subband coding; subband filters; subband-based compression; two-band filter banks; Band pass filters; Channel bank filters; Compaction; Error analysis; Filter bank; Image coding; Image reconstruction; Nonlinear filters; Quantization; Student members;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.370676
  • Filename
    370676