• DocumentCode
    1897352
  • Title

    Wavelet based compression of digital mammograms

  • Author

    Voukelatos, Stathis P. ; Soraghan, John J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • fYear
    1996
  • fDate
    35151
  • Firstpage
    42614
  • Lastpage
    42619
  • Abstract
    Presents the application of a novel wavelet based still image codec to the compression of digital mammograms. An adaptive vector quantisation scheme has been developed for the quantization of the wavelet coefficients. The available bit budget is optimally distributed among the subbands and noise shaping is performed according to the characteristics of the human visual system. The ability of the proposed system for progressive transmission of images is demonstrated. Progressive transmission is important in image browsing applications where it is desirable to allow the receiver to access a recognizable image as quickly as possible at minimum cost. Then, it can be decided whether to receive further image details or abort transmission
  • Keywords
    codecs; diagnostic radiography; image coding; medical image processing; vector quantisation; wavelet transforms; available bit budget; breast cancer detection; digital mammograms; human visual system characteristics; image browsing; image details; medical diagnostic imaging; noise shaping; progressive transmission; recognizable image; subbands; wavelet-based compression; wavelet-based still image codec;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Digital Mammography, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19960492
  • Filename
    543477