Presentation	1999/11/26 Compression of Color Images by using Multi-Layered Neural Networks Eiji Watanabe,
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Abstract(in English)	As well-known, we can obtain compressed representations in the hidden layer, when input patterns are identical with output patterns. However, when images have complex features, single neural network model can not compress them with enough accuracy. In this report, a group of multi-layered neural networks is newly introduced and a compression method is proposed, which can reduce the reconstructed error in stepwise. Finally, the compression rate and the decoding performance of the proposed method are discussed in detail.
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Keyword(in English)	Multi-layered neural network / Data compression / Color image / Segmentation / Quantization
Paper #	NC99-61
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Conference Information
Committee	NC
Conference Date	1999/11/26(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Compression of Color Images by using Multi-Layered Neural Networks
Sub Title (in English)
Keyword(1)	Multi-layered neural network
Keyword(2)	Data compression
Keyword(3)	Color image
Keyword(4)	Segmentation
Keyword(5)	Quantization
1st Author's Name	Eiji Watanabe
1st Author's Affiliation	Department of Information Processing Engineering Faculty of Engineering, Fukuyama University()
Date	1999/11/26
Paper #	NC99-61
Volume (vol)	vol.99
Number (no)	473
Page	pp.pp.-
#Pages	8
Date of Issue