• DocumentCode
    1345376
  • Title

    Reversible integer-to-integer wavelet transforms for image compression: performance evaluation and analysis

  • Author

    Adams, Michael D. ; Kossentni, F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
  • Volume
    9
  • Issue
    6
  • fYear
    2000
  • fDate
    6/1/2000 12:00:00 AM
  • Firstpage
    1010
  • Lastpage
    1024
  • Abstract
    In the context of image coding, a number of reversible integer-to-integer wavelet transforms are compared on the basis of their lossy compression performance, lossless compression performance, and computational complexity. Of the transforms considered, several were found to perform particularly well, with the best choice for a given application depending on the relative importance of the preceding criteria. Reversible integer-to-integer versions of numerous transforms are also compared to their conventional (i.e., nonreversible real-to-real) counterparts for lossy compression. At low bit rates, reversible integer-to-integer and conventional versions of transforms were found to often yield results of comparable quality. Factors affecting the compression performance of reversible integer-to-integer wavelet transforms are also presented, supported by both experimental data and theoretical arguments
  • Keywords
    computational complexity; image coding; transform coding; wavelet transforms; computational complexity; image coding; image compression; lossless compression performance; lossy compression performance; low bit rates; performance evaluation; quality; reversible integer-to-integer wavelet transforms; Arithmetic; Bit rate; Computational complexity; Degradation; Image analysis; Image coding; Performance analysis; Performance loss; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/83.846244
  • Filename
    846244