Watermarking representation for adaptive image classification with RBF network

UM > Faculty of Science and Technology > DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE

Residential College	false
Status	已發表Published
	Watermarking representation for adaptive image classification with RBF network
	Pun C.-M.
	2013
Source Publication	Information (Japan)
ISSN	13448994 13434500
Volume	16 Issue:1 B Pages:681-686
Abstract	In this paper, a novel approach using wavelet watermarking representation for adaptive contentbased image classification with RBF network is proposed. The original image is decomposed into wavelet coefficients using discrete wavelet packet decomposition. The energy signatures of most dominant channels are extracted as the image feature, and encoded as a watermark. For minimal loss in image fidelity, the watermark is then embedded in those wavelet coefficients with highest magnitudes except for those in the lowest frequency channel. The image can be retrieved by a simple watermarking detection method. Experimental results show that the proposed method trained with RBF network is effective and achieves the best performance of 94.8% accuracy for image classification. © 2013 International Information Institute.
Keyword	Digital watermarking Image classification RBF Network Wavelet packet
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Journal article
Collection	DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation	Universidade de Macau
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Pun C.-M.. Watermarking representation for adaptive image classification with RBF network[J]. Information (Japan), 2013, 16(1 B), 681-686.
APA	Pun C.-M..(2013). Watermarking representation for adaptive image classification with RBF network. Information (Japan), 16(1 B), 681-686.
MLA	Pun C.-M.."Watermarking representation for adaptive image classification with RBF network".Information (Japan) 16.1 B(2013):681-686.

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