• DocumentCode
    862407
  • Title

    Vector-lifting schemes for lossless coding and progressive archival of multispectral images

  • Author

    Benazza-Benyahia, Amel ; Pesquet, Jean-Christophe ; Hamdi, Mohamed

  • Author_Institution
    Departement Mathematiques Appliquees, Ecole Superieure des Commun. de Tunis, Ariana, Tunisia
  • Volume
    40
  • Issue
    9
  • fYear
    2002
  • fDate
    9/1/2002 12:00:00 AM
  • Firstpage
    2011
  • Lastpage
    2024
  • Abstract
    In this paper, a nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless and progressive coding of multispectral images. The merit of this new scheme is to exploit efficiently the spatial and the spectral redundancies contained in the multispectral images related to a scene of interest. Besides, the proposed method is suitable for telebrowsing applications. Experiments carried out on real scenes allow to assess its performances. The simulation results demonstrate that our approach leads to improved compression performances compared with currently used lossless coders.
  • Keywords
    geophysical signal processing; image coding; nonlinear filters; terrain mapping; two-dimensional digital filters; compression performances; lossless coding; multispectral images; nonlinear subband decomposition scheme; progressive archival; progressive coding; spatial redundancies; spectral redundancies; telebrowsing; vector-lifting schemes; Heart rate variability; High-resolution imaging; Image coding; Image resolution; Instruments; Layout; Multispectral imaging; Optical imaging; Remote sensing; Satellites;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2002.803845
  • Filename
    1046851