• DocumentCode
    3490068
  • Title

    Implementation of Fractal image compression on FPGA

  • Author

    Son, Thai Nam ; Hung, Ong Manh ; Xuan, Dang Thi ; Van Long, Tran ; Dzung, Nguyen Tien ; Hoang, Thang Manh

  • Author_Institution
    Telev. Advertising & Services Center, Vietnam Nat. Telev., Vietnam
  • fYear
    2012
  • fDate
    1-3 Aug. 2012
  • Firstpage
    339
  • Lastpage
    344
  • Abstract
    Fractal Image Compression (FIC) is known as a lossy technique, which requires a large amount of operations to complete the codification. The development of VLSI technology allows the creation of complete systems inside a single chip likely FPGA, therefore the number of required operations may reduce and data compression becomes increasingly significant for storage and transmission. In this paper, we propose the implementation of a FIC framework on Xilinx Virtex 5 (XUPV5-LX110T) FPGA board, which allows to significantly decrease the elapsing time compared to that implemented in DSP at the same clock rate of 100MHz. The experimental results performed by Fisher´s method for a gray level image have verified the possibility to design a SoC for fast fractal coder/decoder with an increased compression performance.
  • Keywords
    VLSI; data compression; digital signal processing chips; field programmable gate arrays; image coding; DSP; FIC framework; Fisher´s method; SoC design; VLSI technology; XUPV5-LX110T FPGA board; Xilinx Virtex 5; clock rate; compression performance; fast fractal coder-decoder; fractal image compression; gray level image; lossy technique; Digital signal processing; Field programmable gate arrays; Fractals; Image coding; PSNR; Random access memory; System-on-a-chip; FIC; FPGA; Fisher´s method; SoC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Electronics (ICCE), 2012 Fourth International Conference on
  • Conference_Location
    Hue
  • Print_ISBN
    978-1-4673-2492-2
  • Type

    conf

  • DOI
    10.1109/CCE.2012.6315924
  • Filename
    6315924