• DocumentCode
    2598209
  • Title

    Adaptive image compression and decompression based on spectrum sensing

  • Author

    Gao, Yulong ; Guai, Xiuzhi ; Chang, Jian ; Chen, Yanping

  • Author_Institution
    Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    72
  • Lastpage
    75
  • Abstract
    H.264/AVC image compression standard improve the capacity of fitting the varying channels, which meets the demand of cognitive radio. So, adaptive H.264/AVC image compression and decompression were realized, combining spectrum sensing. Spectrum sensing was performed exploiting energy detection algorithm, and then the frequency bandwidth was calculated. The closed form of compression ratio, image resolution and image transmission rate was obtained. Image compression was performed according to some compression parameters got from above closed form. Base-DVICI scheme of image compression and decompression was proposed, including hardware and software design. The driver program of EMIF was accomplished to receive or send image data. Finally, adaptive image compression and decompression was completed, which proved feasibility of proposed scheme.
  • Keywords
    cognitive radio; data compression; image coding; image resolution; spectral analysis; visual communication; wireless channels; Base-DVICI scheme; EMIF driver program; H.264-AVC image compression standard; adaptive image compression; adaptive image decompression; cognitive radio; compression ratio; energy detection algorithm; frequency bandwidth; hardware design; image data; image resolution; image transmission rate; software design; spectrum sensing; Bandwidth; Cognitive radio; Field programmable gate arrays; Hardware; Image coding; Sensors; System-on-a-chip; bandwidth estimation; cognitive radio; image codes; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2011 4th International Congress on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9304-3
  • Type

    conf

  • DOI
    10.1109/CISP.2011.6099957
  • Filename
    6099957