Application of adaptive constructive neural networks to image compression.

Application of adaptive constructive neural networks to image compression. Research Abstract Details 

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Application of adaptive constructive neural networks to image compression. Abstract Text:

L Ma,K Khorasani,

The objective of the paper is the application of an adaptive constructive one-hidden-layer feedforward neural networks (OHL-FNNs) to image compression. Comparisons with fixed structure neural networks are performed to demonstrate and illustrate the training and the generalization capabilities of the proposed adaptive constructive networks. The influence of quantization effects as well as comparison with the baseline JPEG scheme are also investigated. It has been demonstrated through several experiments that very promising results are obtained as compared to presently available techniques in the literature.

Application of adaptive constructive neural networks to image compression. Publishing Authors By Initials

L Ma,K Khorasani,

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Application of adaptive constructive neural networks to image compression. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on neural networks / a publicati

VOLUME: 13

Page Numbers: 1112-26

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ISSN: 1045-9227

DAY: 4

MONTH: 02

YEAR: 2002

Application of adaptive constructive neural networks to image compression. Information

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LANGUAGE: eng

NlmUniqueID: 101211035

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Grant and Affiliation Information for Application of adaptive constructive neural networks to image compression.

AFFILIATION: Dept. of Electr. and Comput. Eng., Concordia Univ., Montreal, Que., Canada.

Country: United States

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MEDLINETA: IEEE Trans Neural Netw

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