• DocumentCode
    2336574
  • Title

    Nonlinear binary wavelet transforms and their application to binary image compression

  • Author

    Kamstra, Lute

  • Author_Institution
    Dept. of Math. & Comput. Sci., Amsterdam Univ., Netherlands
  • Volume
    3
  • fYear
    2002
  • fDate
    24-28 June 2002
  • Firstpage
    593
  • Abstract
    Most research on wavelet transforms of binary signals and images has been concentrated on linear transforms. This paper proposes a binary wavelet transform scheme that does not depend on the field structure of binary numbers and includes nonlinear transforms. As a result, the number of binary wavelet transforms increases drastically. It is demonstrated that the increased freedom in choosing a particular transform can be useful in binary image compression. Nonlinear transforms reduce the empirical entropy of the test images substantially better than linear transforms.
  • Keywords
    data compression; image coding; transform coding; wavelet transforms; binary image compression; discrete wavelet transform; empirical entropy reduction; nonlinear binary wavelet transforms; test images; Application software; Computer science; Discrete transforms; Discrete wavelet transforms; Entropy; Galois fields; Image coding; Mathematics; Testing; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1039040
  • Filename
    1039040