• DocumentCode
    2887256
  • Title

    A spectral multi-resolution image encoding network

  • Author

    Brause, Rüdiger W. ; Glitsch, Jügen

  • Author_Institution
    Dept. of Comput. Sci., J.W. Goethe Univ., Frankfurt, Germany
  • fYear
    1995
  • fDate
    5-8 Nov 1995
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    After a short introduction into traditional image transform coding, multirate systems and multiscale signal coding the paper focuses on the subject of image encoding by a neural network. Taking also noise into account a network model is proposed which not only learns the optimal localized basis functions for the transform but also learns to implement a whitening filter by multi-resolution encoding. A simulation showing the multi-resolution capabilities concludes the contribution
  • Keywords
    image coding; neural nets; transform coding; multi-resolution encoding; multirate systems; multiscale signal coding; network model; neural network; optimal localized basis functions; spectral multi-resolution image encoding network; whitening filter; Encoding; Filter bank; Frequency; Image coding; Low pass filters; Neural networks; Principal component analysis; Quantization; Sampling methods; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7312-5
  • Type

    conf

  • DOI
    10.1109/TAI.1995.479416
  • Filename
    479416