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An Improved Self-em...
An Improved Self-embedding Algorithm : Digital Content Protection against Compression Attacks in Digital Watermarking
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- Yogarajah, Pratheepan (författare)
- School of Computing and Intelligent Systems, University of Ulster, UK
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- Condell, Joan (författare)
- School of Computing and Intelligent Systems, University of Ulster, UK
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- Curran, Kevin (författare)
- School of Computing and Intelligent Systems, University of Ulster, UK
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- Cheddad, Abbas (författare)
- Umeå universitet,Umeå centrum för molekylär medicin (UCMM)
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- McKevit, Paul (författare)
- School of Computing and Intelligent Systems, University of Ulster, UK
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(creator_code:org_t)
- Berlin, Heidelberg : Springer Berlin/Heidelberg, 2010
- 2010
- Engelska.
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Ingår i: Image Processing and Communications Challenges 2. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642162947 - 9783642162954 ; , s. 59-66
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
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