• DocumentCode
    1590107
  • Title

    High-Speed and Power Efficient Lifting-Based VLSI Architecture for Two-Dimesional Discrete Wavelet Transform

  • Author

    Saeed, Ibrahim ; Agustiawan, Herman

  • Author_Institution
    Electr. & Electron. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh
  • fYear
    2008
  • Firstpage
    998
  • Lastpage
    1005
  • Abstract
    Two lifting-based VLSI architectures for 2-D DWTfor lossless 5/3 and lossy 9/7 algorithms were proposed by Ibrahim et al., based on two scan methods, overlapped and nonoverlaped. In the architecture based on the overlapped scan method, the maximum power consumption occurs due to overlap external frame memory access. On the other hand, in the nonoverlapped architecture, the power consumption was reduced to minimum by eliminating the overlapped areas which requires the addition of a line buffer of size N. Furthermore, the performance evaluations by Ibrahim el at., show that those pipelined architectures are optimal in terms of speedup, efficiency and hardware utilization. In this paper, we proposed new architecture, called intermediate architecture, for both 5/3 and 9/7 algorithms, which aim at reducing the power consumption of the overlapped areas, without using the expensive line buffer, to somewhat between the two extreme architectures proposed by Ibrahimt et al.
  • Keywords
    VLSI; discrete wavelet transforms; low-power electronics; VLSI architecture; intermediate architecture; maximum power consumption; two scan methods; two-dimensional discrete wavelet transform; Asia; Clocks; Discrete wavelet transforms; Energy consumption; Hardware; Image coding; Power engineering and energy; Transform coding; Two dimensional displays; Very large scale integration; VLSI architecture; discrete wavelet transform; high-speed; lifting scheme; pipelined.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling & Simulation, 2008. AICMS 08. Second Asia International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-0-7695-3136-6
  • Electronic_ISBN
    978-0-7695-3136-6
  • Type

    conf

  • DOI
    10.1109/AMS.2008.43
  • Filename
    4530614