• DocumentCode
    120600
  • Title

    Low complexity multidimensional CDF 5/3 DWT architecture

  • Author

    Al-Azawi, Saad ; Abbas, Yasir Amer ; Jidin, Razali

  • Author_Institution
    Coll. of Eng., Diyala Univ., Baquba, Iraq
  • fYear
    2014
  • fDate
    23-25 July 2014
  • Firstpage
    804
  • Lastpage
    808
  • Abstract
    This paper introduces an efficient low complexity multidimensional DWT architecture. The proposed architecture is based on a lifting-scheme for the Cohen-Daubechies-Feauveau (CDF) 5/3 DWT filter. It consists of low complexity identical computation and control units which can be used easily to implement 2-D and 3-D DWT architectures. The synthesis results show that the output latency is 2N+2 clock cycles, with N2+2N+2 clock cycles required for the first level 2-D CDF 5/3 DWT computation. The architecture is parameterized to tackle various images and wordlength sizes. Furthermore, the proposed architecture is implemented using a Virtex 6 Xilinx FPGA platform. The implementation results reveal that the proposed architecture can operate at up to 198 MHz operating frequency. This reduces the time for first level DWT decomposition of a 512×512-pixel image to less than 1.3 m sec.
  • Keywords
    decomposition; discrete wavelet transforms; field programmable gate arrays; filtering theory; image processing; 2D DWT architecture; 2N+2 clock cycle; 3D DWT architecture; CDF 5-3 DWT filter; Cohen- Daubechies-Feauveau 5-3 DWT filter; N2+2N+2 clock cycle; Virtex 6 Xilinx FPGA platform; decomposition; image size; lifting-scheme; low complexity identical computation; low complexity multidimensional CDF DWT architecture; wordlength size; Complexity theory; Computer architecture; Delays; Discrete wavelet transforms; Hardware; Image coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/CSNDSP.2014.6923937
  • Filename
    6923937