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Proceedings Paper

Image compressions based on wavelet, fractal, and neural network
Author(s): Guowen Liu; Guowei Yang; Zhiliang Wang
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Paper Abstract

A new lossless compression based on neural network is given by establishing special mapping Y, integral function and neural network. A high efficiency image compression based on wavelet and neural network is obtained by embedding in a good wavelet coding system with the new lossless compression. A new image compression based on fractal and neural network is also constructed by embedding in an efficient fractal image compression with the new lossless data compression based on neural network. Experiments show that these compressions are useful and efficient.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.538870
Show Author Affiliations
Guowen Liu, Univ. of Science and Technology of China (China)
Guowei Yang, Univ. of Science and Technology of China (China)
Zhiliang Wang, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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