• DocumentCode
    2340531
  • Title

    On hardware implementation of DCT/IDCT for image processing

  • Author

    Elhamzi, W. ; Saidani, T. ; Atri, M. ; Tourki, R.

  • Author_Institution
    Fac. of Sci., EE Lab., Monastir
  • fYear
    2008
  • fDate
    7-9 Nov. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Most studies on standards of image and video compression demonstrated the need to rely on hardware accelerator for the most computationally intensive part of the coding process that is the discrete cosine transform (DCT). In this paper, a material implementation of discrete cosine transform (DCT) and inverse DCT (IDCT) was presented, in the goal to reduce execution time and chip size. Also to achieve time to market (TTM), we had used DCT and IDCT from Xilinx IP. This implementation based Memec Virtex 2 pro platform is supported as being a material accelerator for image and video compression standards. The experimental results show optimization in processing time offered by material acceleration vs. software implementation.
  • Keywords
    data compression; discrete cosine transforms; image coding; optimisation; Xilinx IP; discrete cosine transform; image compression; image processing; time to market; video compression; Acceleration; Circuits and systems; Discrete cosine transforms; Hardware; Image coding; Image processing; Signal processing; Time to market; Transform coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2008. SCS 2008. 2nd International Conference on
  • Conference_Location
    Monastir
  • Print_ISBN
    978-1-4244-2627-0
  • Electronic_ISBN
    978-1-4244-2628-7
  • Type

    conf

  • DOI
    10.1109/ICSCS.2008.4746923
  • Filename
    4746923