An Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural Network

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/252

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DC Field	Value	Language
dc.contributor.author	Majhi, B	-
dc.contributor.author	Shalabi, H	-
dc.date.accessioned	2006-03-03T03:49:33Z	-
dc.date.available	2006-03-03T03:49:33Z	-
dc.date.issued	2005	-
dc.identifier.citation	Journal of Computer Science, Vol 1, Iss 2, P 169-174	en
dc.identifier.uri	http://hdl.handle.net/2080/252	-
dc.description	Copyright for this article belongs to Science Publications	en
dc.description.abstract	The present study proposes a novel technique for copyright protection by utilizing digital watermarking of Images. The watermark is embedded and detected by using Functional Link Artificial Neural Network (FLANN) and Discrete Cosine Transform (DCT). The exhaustive simulation results of the proposed scheme show improved performance over the existing methods in all cases, i.e. when the watermarked image is subjected to compression, cropping, sharpening, blurring and noise. Comparative analysis with an existing neural approach shows the superiority of the proposed scheme of computational complexity and performance	en
dc.format.extent	4192617 bytes	-
dc.format.mimetype	application/pdf	-
dc.language.iso	en	-
dc.publisher	Science Publications	en
dc.title	An Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural Network	en
dc.type	Article	en
Appears in Collections:	Journal Articles

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