DocumentCode
2206629
Title
Dynamic bit allocation in image coding using a Self-Organizing Map with Learning Vector Quantization
Author
Neto, João Souza ; Neto, Sebastião Do Nascimento ; Nascimento, F.A.deO.
Author_Institution
Engenharia Mecanica, Brazil
Volume
2
fYear
1995
fDate
13-16 Aug 1995
Firstpage
858
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
adaptive codes; image coding; learning (artificial intelligence); self-organising feature maps; transform coding; vector quantisation; LVQ1 algorithm; adaptive image transform coding; clustering; dynamic bit allocation; learning vector quantization; self-organizing map neural network; Bit rate; Clustering algorithms; Electronic mail; Image coding; Image sampling; Iterative algorithms; Neurons; Organizing; Signal to noise ratio; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Conference_Location
Rio de Janeiro
Print_ISBN
0-7803-2972-4
Type
conf
DOI
10.1109/MWSCAS.1995.510224
Filename
510224
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