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Erschienen in:
2010 | OriginalPaper | Buchkapitel
SVD and Neural Network Based Watermarking Scheme
verfasst von : Swanirbhar Majumder, Tirtha Shankar Das, Vijay H. Mankar, Subir K. Sarkar
Erschienen in: Information Processing and Management
Verlag: Springer Berlin Heidelberg
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Presently the WWW phenomenon has brought the world in to the personal computer. Digital media is thereby given high priority. But this has increased the frequency of security breach of intellectual properties. Therefore copyright protections and content integrity verification are highly recommended. What we need is newer data hiding techniques that must be imperceptible, robust, highly secured, etc. Digital image watermarking is one of the ways that is resilient to various attacks on the image based digital media where data authentication is done by embedding of a watermark in image characteristics. This work incorporates singular value decomposition (SVD) based image watermarking. Here unlike previous work done by researchers, error control coding (ECC) and artificial neural networks (ANN) for the authentication purposes have been used. ECC and ANN increase the robustness of the method against malicious attacks.