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dc.contributor.authorMajhi, B-
dc.contributor.authorShalabi, H-
dc.identifier.citationJournal of Computer Science, Vol 1, Iss 2, P 169-174en
dc.descriptionCopyright for this article belongs to Science Publicationsen
dc.description.abstractThe 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 performanceen
dc.format.extent4192617 bytes-
dc.publisherScience Publicationsen
dc.titleAn Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural Networken
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