• DocumentCode
    3017835
  • Title

    Compression of sequential images

  • Author

    Kerasha, Mohamed A. ; Greenshields, Ian

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    272
  • Lastpage
    276
  • Abstract
    We consider compressing sequential images (i.e., images with a strong correlation which are not time-dependent, such as proximal MR/CT slices or the image dataset from the visible human project) using neural nets. The basic idea is that compression takes place in the encoding of the outputs of the hidden layer, which is then transmitted to the receiver
  • Keywords
    data compression; encoding; image coding; neural nets; encoding; image dataset; neural nets; proximal MR/CT slices; sequential images compression; strong correlation; visible human project; Chromium; Consumer electronics; Cyclic redundancy check; Discrete Fourier transforms; Genetic communication; Image coding; Image reconstruction; Information theory; Mathematics; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
  • Conference_Location
    Stamford, CT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-0234-2
  • Type

    conf

  • DOI
    10.1109/CBMS.1999.781288
  • Filename
    781288