• DocumentCode
    2969057
  • Title

    Real-time CCSDS lossless adaptive hyperspectral image compression on parallel GPGPU & multicore processor systems

  • Author

    Hopson, Ben ; Benkrid, Khaled ; Keymeulen, Didier ; Aranki, Nazeeh

  • Author_Institution
    Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    107
  • Lastpage
    114
  • Abstract
    The new CCSDS (Consultative Committee for Space Data Systems) Lossless Multispecral&Hyperspectral Image Compression Standard was designed to facilitate a fast hardware implementation. This paper analyses that algorithm with regard to available parallelism and describes fast parallel implementations in software for GPGPU and Multicore CPU architectures. We show that careful software implementation, using hardware acceleration in the form of GPGPUs or even just multicore processors, can exceed the performance of existing hardware and software implementations by up to 11× and break the real-time barrier for the first time for a typical test application.
  • Keywords
    data compression; geophysical image processing; geophysical techniques; graphics processing units; image coding; multiprocessing systems; parallel architectures; remote sensing; spectral analysis; Consultative Committee for Space Data Systems; hardware acceleration; hardware implementation; lossless hyperspectral image compression standard; lossless multispectral compression standard; multicore CPU architecture; multicore processor system; parallel GPGPU system; parallel implementation; parallelism; real-time CCSDS lossless adaptive hyperspectral image compression; software implementation; Adaptive filters; Graphics processing unit; Hardware; Hyperspectral sensors; Parallel processing; Sensors; Adaptive Filter; CCSDS; GPGPU; Hyperspectral; Image Compression; Lossless; Multicore; Parallel; Realtime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Hardware and Systems (AHS), 2012 NASA/ESA Conference on
  • Conference_Location
    Erlangen
  • Print_ISBN
    978-1-4673-1915-7
  • Electronic_ISBN
    978-1-4673-1914-0
  • Type

    conf

  • DOI
    10.1109/AHS.2012.6268637
  • Filename
    6268637