• DocumentCode
    937716
  • Title

    Adaptive least-squares bilinear interpolation (ALSBI): a new approach to image-data compression

  • Author

    De Natale, Francesco G. B. ; Giusto, D.D.

  • Author_Institution
    DIBA, Genoa Univ., Italy
  • Volume
    29
  • Issue
    18
  • fYear
    1993
  • Firstpage
    1638
  • Lastpage
    1640
  • Abstract
    The authors deal with a new interpolation algorithm for 2-D data, based on the least-squares optimisation of a spline-like scheme. First, an optimum least-squares bilinear interpolation is applied to uniform sampling. The problem of spatial adaptivity is then solved by recursive splitting. Finally, the technique is integrated into a two-source coding scheme.
  • Keywords
    data compression; image coding; interpolation; least squares approximations; optimisation; 2D data; adaptive least-squares bilinear interpolation; image-data compression; interpolation algorithm; least-squares optimisation; recursive splitting; spatial adaptivity; spline-like scheme; two-source coding scheme; uniform sampling;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19931091
  • Filename
    233091
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=937716