• DocumentCode
    3598385
  • Title

    Improved dynamic bit allocation in image coding using a self-organizing map with learning vector quantization

  • Author

    Souza Neto, J. ; Neto, Jo?£o Souza ; de O.Nascimento, F.A.

  • Author_Institution
    Dept. of Electr. Eng., Brasilia Univ., Brazil
  • Volume
    3
  • fYear
    1997
  • Firstpage
    1501
  • Abstract
    A self-organizing map (SOM) neural network for dynamic bit allocation in adaptive image transform coding is presented. The results shown in this paper are for nets with 30, 96 and 128 neurons in the input layer and 100 (10×10) neurons in the competition layer. The learning vector quantization LVQ1 algorithm was used to enhance the clustering in the map
  • Keywords
    image coding; self-organising feature maps; transform coding; vector quantisation; LVQ1 algorithm; adaptive image transform coding; dynamic bit allocation; image coding; learning vector quantization; self-organizing map; Artificial neural networks; Bit rate; Clustering algorithms; Image coding; Image sampling; Iterative algorithms; Neurons; Signal to noise ratio; Transform coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks,1997., International Conference on
  • Print_ISBN
    0-7803-4122-8
  • Type

    conf

  • DOI
    10.1109/ICNN.1997.614019
  • Filename
    614019
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3598385