• DocumentCode
    631985
  • Title

    VLSI architecture of multiplier-less DWT image processor

  • Author

    Safari, Abdolreza ; Niras, C.V. ; Yinan Kong

  • Author_Institution
    Dept. of Electron., Macquarie Univ., Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    17-19 April 2013
  • Firstpage
    280
  • Lastpage
    284
  • Abstract
    High performance digital image processing is considered a significant contributes of high performance embedded computing and signal processing projects. In this paper, we have provided the design and implementation of VLSI architecture of multiplier-less DWT image processor. The filter coefficients multiplication is resolved by simple shift and adds. Multi-resolution features of bi-orthogonal DWT and a new scheme of reading images from memory are employed to reduce the memory requirements. The image is processed by the overlapped blocks without dividing the image into sub blocks. The experimental results are provided for power, area and hardware utilization. The proposed design is smaller and faster than designs with multiplier based designs. This is, to our knowledge, the first hardware design paper that provides BDWT image processor from theory description to the front-end synthesis.
  • Keywords
    VLSI; discrete wavelet transforms; filtering theory; image processing equipment; image resolution; integrated circuit design; BDWT image processor; VLSI architecture; biorthogonal DWT; digital image processing; discrete wavelet transform; filter coefficient multiplication; front-end synthesis; hardware utilization; multiplier based design; multiplierless DWT image processor; multiresolution feature; reading image scheme; signal processing project; Convolution; Discrete wavelet transforms; Filter banks; Memory management; Very large scale integration; Synthesis; VLSI; discrete wavelet transform; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON Spring Conference, 2013 IEEE
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-6347-1
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2013.6584456
  • Filename
    6584456