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An Improved Self-embedding Algorithm: Digital Content Protection against Compression Attacks in Digital Watermarking
School of Computing and Intelligent Systems, University of Ulster, UK.
School of Computing and Intelligent Systems, University of Ulster, UK.
School of Computing and Intelligent Systems, University of Ulster, UK.
Umeå University, Faculty of Medicine, Umeå Centre for Molecular Medicine (UCMM).
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2010 (English)In: Image Processing and Communications Challenges 2 / [ed] Ryszard S. Choraś, Springer Berlin/Heidelberg, 2010, 59-66 p.Chapter in book (Other academic)
Abstract [en]

Lossy compression attacks in digital watermarking are one of the major issues in digital watermarking. Cheddad et al. proposed a robust secured self-embedding method which is resistant to a certain amount of JPEG compression. Our experimental results show that the self-embedding method is resistant to JPEG compression attacks and not resistant to other lossy compression attacks such as Block Truncation Coding (BTC) and Singular Value Decomposition (SVD). Therefore we improved Cheddad et al's. method to give better protection against BTC and SVD compression attacks.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2010. 59-66 p.
Series
Advances in Intelligent and Soft Computing, ISSN 1867-5662 ; 84
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:umu:diva-75749DOI: 10.1007/978-3-642-16295-4_6ISI: 000283082600006ISBN: 978-3-642-16294-7 (print)ISBN: 978-3-642-16295-4 (print)OAI: oai:DiVA.org:umu-75749DiVA: diva2:635421
Note

Book part I.

Available from: 2013-07-04 Created: 2013-07-03 Last updated: 2013-07-04Bibliographically approved

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CiteExportLink to record
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Citation style
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  • Other locale
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