• DocumentCode
    2137315
  • Title

    Subband coding for large-scale scientific simulation data using JPEG 2000

  • Author

    Brislawn, Christopher M. ; Woodring, Jonathan L. ; Mniszewski, Susan M. ; DeMarle, David E. ; Ahrens, James P.

  • Author_Institution
    Los Alamos Nat. Lab., Los Alamos, NM, USA
  • fYear
    2012
  • fDate
    22-24 April 2012
  • Firstpage
    201
  • Lastpage
    204
  • Abstract
    The ISO/IEC JPEG 2000 image coding standard is a family of source coding algorithms targeting high-resolution image communications. JPEG 2000 features highly scalable embedded coding features that allow one to interactively zoom out to reduced resolution thumbnails of enormous data sets or to zoom in on highly localized regions of interest with very economical communications and rendering requirements. While intended for fixed-precision input data, the implementation of the irreversible version of the standard is often done internally in floating point arithmetic. Moreover, the standard is designed to support high-bit-depth data. Part 2 of the standard also provides support for three-dimensional data sets such as multicomponent or volumetric imagery. These features make JPEG 2000 an appealing candidate for highly scalable communications coding and visualization of two- and three-dimensional data produced by scientific simulation software. We present results of initial experiments applying JPEG 2000 to scientific simulation data produced by the Parallel Ocean Program (POP) global ocean circulation model, highlighting both the promise and the many challenges this approach holds for scientific visualization applications.
  • Keywords
    data visualisation; feature extraction; floating point arithmetic; image coding; image resolution; rendering (computer graphics); solid modelling; ISO-IEC JPEG 2000 image coding standard; POP global ocean circulation model; economical communications; embedded coding features; fixed-precision input data; floating point arithmetic; high-bit-depth data; high-resolution image communications; highly scalable communications coding; irreversible version; large-scale scientific simulation data; parallel ocean program global ocean circulation model; rendering requirements; resolution thumbnails; scientific simulation software; scientific visualization applications; source coding algorithms; subband coding; three-dimensional data sets; three-dimensional data visualization; two-dimensional data visualization; Data models; Data visualization; Encoding; Image coding; Transform coding; Wavelet transforms; JPEG 2000; data compression; floating point data; high-performance computing; image coding; scientific visualization; subband coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
  • Conference_Location
    Santa Fe, NM
  • Print_ISBN
    978-1-4673-1831-0
  • Electronic_ISBN
    978-1-4673-1829-7
  • Type

    conf

  • DOI
    10.1109/SSIAI.2012.6202488
  • Filename
    6202488