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Abstract: Apart from the existing technology on image compression represented by series of JPEG, MPEG and H.26x standards, new technology such as neural networks and genetic algorithms are being developed to explore the future of image coding. Successful applications of neural networks to vector quantization have now become well established, and other aspects of neural network involvement in this area are stepping up to play signi"cant roles in assisting with those traditional technologies. This paper... (Update)
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.... neural network techniques have been applied to solve complex problems in the fields of image processing [11 13] and image compression [14 16]. Among the numerous neural networks, the multilayer perceptron (MLP) network is a particularly efficient model for classification and...
...An adaptive learning phase is usually requi red to train the network prior to its use. A number of neural networks exist; Jiang (1999) [7] describes many Neural Network variants for image compression, among which the competitive l earning model can be regarded as the most...
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BibTeX entry: (Update)
Jiang J. Image compression with neural networks-A survey. Signal Processing: Image Commun 1999; 14: 737--760 http://citeseer.ist.psu.edu/jiang99image.html More
@misc{ jiang99image,
author = "J. Jiang",
title = "Image compression with neural networks-A survey",
text = "Jiang J. Image compression with neural networks-A survey. Signal Processing:
Image Commun 1999; 14: 737--760",
year = "1999",
url = "citeseer.ist.psu.edu/jiang99image.html" }
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