• DocumentCode
    2344180
  • Title

    An efficient architecture for 2-D lifting-based discrete wavelet transform

  • Author

    Yu, Pingping ; Yao, Suying ; Xu, Jiangtao

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3667
  • Lastpage
    3670
  • Abstract
    This paper proposes an efficient VLSI architecture for implementation of 2-D lifting-based discrete wavelet transform (DWT). The whole architecture was optimized in efficient pipeline and parallel design way to speed up and achieve higher hardware utilization. Adopted time division multiplex (TDM) design to realize the prediction step and update step using the same architecture, which reduced the size of the circuit. Exploited embedded mirror symmetric boundary extension technique to optimize the architecture for 1-D DWT. The architecture was coded in Verilog HDL, implemented in a FPGA, and verified by a real-time platform which comprises a CMOS image sensor, a FPGA and a PC.
  • Keywords
    VLSI; discrete wavelet transforms; field programmable gate arrays; hardware description languages; time division multiplexing; 1D DWT; 2D lifting-based discrete wavelet transform; CMOS image sensor; FPGA; VLSI architecture; Verilog HDL; exploited embedded mirror symmetric boundary extension; hardware utilization; time division multiplex design; CMOS image sensors; Circuits; Design optimization; Discrete wavelet transforms; Field programmable gate arrays; Hardware design languages; Mirrors; Pipelines; Time division multiplexing; Very large scale integration; Discrete wavelet transform (DWT); VLSI architecture; embedded mirror symmetric boundary extension; lifting scheme;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138891
  • Filename
    5138891