• DocumentCode
    1749826
  • Title

    Quantization effect on VLSI implementations for the 9/7 DWT filters

  • Author

    Spiliotopoulos, Vassilis ; Zervas, N.D. ; Andreopoulos, Yiannis ; Anagnostopoulos, G. ; Goutis, Costas E.

  • Author_Institution
    Dept. of ECE, Patras Univ., Greece
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1197
  • Abstract
    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 conventional, convolutional filter approach. Two architectures are examined for each approach, a simple straightforward one and an optimized 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
    FIR filters; VLSI; data compression; discrete wavelet transforms; filtering theory; quantisation (signal); video coding; 9/7 DWT filters; 9/7 discrete wavelet transform filters; 9/7 filtering unit; JPEG2000 standard; VLSI implementations; arithmetic complexity; convolutional filter approach; lifting scheme approach; quantization effect; shift-add operations; Collaborative software; Convolution; Discrete wavelet transforms; Filtering; Filters; Hardware; PSNR; Quantization; Very large scale integration; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.941138
  • Filename
    941138