• DocumentCode
    3513107
  • Title

    A cost-error optimized architecture for 9/7 lifting based Discrete Wavelet Transform with balanced pipeline stages

  • Author

    Aminlou, Alireza ; Refan, Fatemeh ; Hashemi, M.R. ; Fatemi, Omid ; Safari, Saeed

  • Author_Institution
    Multimedia Process. Lab., Univ. of Tehran, Tehran
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    589
  • Lastpage
    592
  • Abstract
    Discrete wavelet transform (DWT) is increasingly recognized in image/video compression standards, as indicated by its use in JPEG2000. The lifting scheme algorithm is an alternative DWT implementation that has a lower computational complexity. In this paper, a new high performance lifting-based architecture is presented for the 9/7 DWT engine. The proposed architecture has a balanced pipeline and improves both the computational error and hardware complexity for any given working frequency. In the proposed architecture, the constant coefficients are modified by introducing new variables to the conventional lifting structure to minimize hardware cost and computational error, imposed by quantization of coefficients. Simulation results indicate a quality improvement of up to 15 dB when compared to an architecture using the standard coefficients that has the same hardware cost and working frequency. Similarly, the hardware cost is reduced by about 20% when both architectures deliver the same PSNR when operating at the same frequency.
  • Keywords
    computational complexity; discrete wavelet transforms; video coding; balanced pipeline stages; computational complexity; cost-error optimized architecture; discrete wavelet transform; image/video compression standards; lifting-based architecture; Computational complexity; Computer architecture; Costs; Discrete wavelet transforms; Frequency; Hardware; Image recognition; Pipelines; Transform coding; Video compression; Balanced pipeline; Constant multiplier; Discrete wavelet transform; Lifting-based architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4959652
  • Filename
    4959652