• DocumentCode
    3128020
  • Title

    Acceleration of Fractal Image Compression Using the Hardware-Software Co-design Methodology

  • Author

    Nava, Oscar Alvarado ; Perez, Andres Dono

  • Author_Institution
    Dept. de Electron., Univ. Autonoma Metropolitana, Mexico City, Mexico
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    167
  • Lastpage
    171
  • Abstract
    Fractal Image Compression (FIC) is a lossy technique whose features are promising for computer systems with few resources, however, it has been ignored due to the large amount of operations needed to complete the codification. On the other hand, the development of VLSI technology allows for the creation of programmable devices with greater facilities, which not only offer a large gate density to program hardware modules, but also contain one or more embedded processors, allowing the creation of complete systems inside a single chip (SoC). The use of hardware and software components in a single electronic system allows to combine the flexibility offered by software and the high computing power and parallelism of hardware. This paper describes a Hardware-Software Co-Design (HSC) of FIC which improves the compression time, obtaining an acceleration factor between 6.6 and 8.5. The system was built on a SoC based on an FPGA.
  • Keywords
    VLSI; field programmable gate arrays; fractals; hardware-software codesign; image coding; system-on-chip; FPGA; SoC; VLSI technology; embedded processors; fractal image compression; gate density; hardware software codesign methodology; lossy technique; Acceleration; Application software; Application specific integrated circuits; Computational efficiency; Digital images; Field programmable gate arrays; Fractals; Hardware; Image coding; Image storage; FPGA; Fractal Compression; Hardware-Software Co-Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reconfigurable Computing and FPGAs, 2009. ReConFig '09. International Conference on
  • Conference_Location
    Quintana Roo
  • Print_ISBN
    978-1-4244-5293-4
  • Electronic_ISBN
    978-0-7695-3917-1
  • Type

    conf

  • DOI
    10.1109/ReConFig.2009.76
  • Filename
    5382046