• DocumentCode
    1541491
  • Title

    Evaluation of JPEG-LS, the new lossless and controlled-lossy still image compression standard, for compression of high-resolution elevation data

  • Author

    Rane, Shantanu D. ; Sapiro, Guillermo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
  • Volume
    39
  • Issue
    10
  • fYear
    2001
  • fDate
    10/1/2001 12:00:00 AM
  • Firstpage
    2298
  • Lastpage
    2306
  • Abstract
    The compression of elevation data is studied. The performance of JPEG-LS, the new international ISO/ITU standard for lossless and near-lossless (controlled-lossy) still-image compression, is investigated both for data from the USGS digital elevation model (DEM) database and the navy-provided digital terrain model (DTM) data. Using JPEG-LS has the advantage of working with a standard algorithm. Moreover, in contrast with algorithms like the popular JPEG-lossy standard, this algorithm permits the completely lossless compression of the data as well as a controlled lossy mode where a sharp upper bound on the elevation error is selected by the user. All these are achieved at a very low computational complexity. In addition to these algorithmic advantages, they show that JPEG-LS achieves significantly better compression results than those obtained with other (nonstandard) algorithms previously investigated for the compression of elevation data. The results here reported suggest that JPEG-LS can immediately be adopted for the compression of elevation data for a number of applications
  • Keywords
    data compression; geodesy; geophysical signal processing; geophysical techniques; geophysics computing; image coding; remote sensing; terrain mapping; topography (Earth); ISO ITU standard; JPEG; JPEG-LS; JPEG-lossy standard; algorithm; cartography; controlled lossy still image compression standard; digital elevation model; elevation data; geodesy; geophysical measurement technique; high resolution data; image compression; image processing; land surface topography; lossless compression; remote sensing; still-image; terrain maping; Computational complexity; Digital elevation models; Engineering profession; Error correction; ISO standards; Image coding; Navigation; Performance loss; Pixel; Transform coding;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.957293
  • Filename
    957293