• DocumentCode
    2670663
  • Title

    A VLSI architecture for lifting-based wavelet transform

  • Author

    Andra, Kishore ; Chakrabarti, Chaitali ; Acharya, Tinku

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    70
  • Lastpage
    79
  • Abstract
    The discrete wavelet transform (DWT) is the basis for many image compression techniques, such as the upcoming JEPG2000. Lifting-based DWT requires fewer computations compared to the traditional convolution-based approach. In this paper, we propose a VLSI architecture to compute lifting-based 2D DWT, for a set of seven filters recommended in the JPEG2000 verification model. The architecture produces transform coefficients in every clock cycle for three of the filters and in every alternate cycle for the rest of the filters. We also present an efficient memory organization to address the high memory bandwidth requirements. The performance metrics of the proposed architecture have also been furnished
  • Keywords
    VLSI; data compression; digital signal processing chips; discrete wavelet transforms; image coding; transform coding; DWT; JPEG2000 verification model; VLSI architecture; clock cycle; discrete wavelet transform; efficient memory organization; filters; high memory bandwidth requirements; image compression; lifting-based 2D DWT; lifting-based wavelet transform; performance metrics; transform coefficients; Bandwidth; Clocks; Computer architecture; Discrete wavelet transforms; Filters; Image coding; Measurement; Transform coding; Very large scale integration; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 2000. SiPS 2000. 2000 IEEE Workshop on
  • Conference_Location
    Lafayette, LA
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-6488-0
  • Type

    conf

  • DOI
    10.1109/SIPS.2000.886705
  • Filename
    886705