• DocumentCode
    857928
  • Title

    Hierarchical interpolation

  • Author

    Viergever, Max A. ; Roos, Paul

  • Author_Institution
    Comput. Vision Res. Group, Univ. Hospital Utretcht, Netherlands
  • Volume
    12
  • Issue
    1
  • fYear
    1993
  • fDate
    3/1/1993 12:00:00 AM
  • Firstpage
    48
  • Lastpage
    55
  • Abstract
    A state-of-the-art report on reversible (or lossless, or error-free, or information preserving) compression of medical images is presented. Reversible compression consists of two steps, decorrelation and coding. Methods for intraframe decorrelation of 2-D images can be divided into three classes, viz., transform, predictive, and multiresolution decorrelation. Transform decorrelation methods are found to be unsuited for reversible compression. DPCM (differential pulse code modulation) the best predictive method, decorrelates well, but has a great disadvantage in its parameter dependency.<>
  • Keywords
    data compression; interpolation; medical image processing; 2D images; differential pulse code modulation; hierarchical interpolation; image coding; intraframe decorrelation; medical images compression; multiresolution decorrelation; parameter dependency; reversible compression; transform decorrelation methods; Biomedical imaging; Bit rate; Costs; Data compression; Digital images; Image coding; Image storage; Interpolation; Memory; Nuclear medicine;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.195940
  • Filename
    195940