• DocumentCode
    2155691
  • Title

    Quantizing the 9/7 Daubechies filter coefficients for 2D DWT VLSI implementations

  • Author

    Spiliotopoulos, Vassilis ; Zervas, N.D. ; Androulidakis, C.E. ; Anagnostopoulos, G. ; Theoharis, S.

  • Author_Institution
    Alma Technol. S.A, Attika, Greece
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    227
  • Abstract
    In this paper, two basic approaches for implementing the 9/7 filtering unit, used in the discrete wavelet transform, are addressed. The first is the lifting scheme approach and the second is the convolutional filter approach. both used in the JPEG2000 standard. Two architectures are examined for each approach, a simple straightforward one and an improved one, substituting the multipliers used for scaling with shift add operations. The quantization of the constants used in the calculations is thoroughly explored and the selection of the data-path bit-width is addressed. Experimental results based on hardware implementation, for several quantizations and for the different hardware architectures of the 9/7 filtering units are given.
  • Keywords
    VLSI; code standards; convolution; data compression; digital filters; discrete wavelet transforms; image coding; quantisation (signal); 2D DWT; 9/7 Daubechies filter coefficients; 9/7 filtering units; JPEG2000 standard; VLSI; architectures; convolutional filter; discrete wavelet transform; lifting scheme; quantization; shift add operations; Convolution; Discrete wavelet transforms; Filtering; Filters; Hardware; PSNR; Quantization; Transform coding; Very large scale integration; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
  • Print_ISBN
    0-7803-7503-3
  • Type

    conf

  • DOI
    10.1109/ICDSP.2002.1027876
  • Filename
    1027876