An Improved Self-embedding Algorithm: Digital Content Protection against Compression Attacks in Digital Watermarking

An Improved Self-embedding Algorithm : Digital Content Protection against Compression Attacks in Digital Watermarking

Yogarajah, Pratheepan (author): School of Computing and Intelligent Systems, University of Ulster, UK

Condell, Joan (author): School of Computing and Intelligent Systems, University of Ulster, UK

Curran, Kevin (author): School of Computing and Intelligent Systems, University of Ulster, UK

Cheddad, Abbas (author): Umeå universitet,Umeå centrum för molekylär medicin (UCMM)

McKevit, Paul (author): School of Computing and Intelligent Systems, University of Ulster, UK

(creator_code:org_t)

Berlin, Heidelberg : Springer Berlin/Heidelberg, 2010
2010
English.
In: Image Processing and Communications Challenges 2. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642162947 - 9783642162954 ; , s. 59-66

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; show less...

Abstract Subject headings

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.

By the author/editor: Yogarajah, Prath ...; Condell, Joan; Curran, Kevin; Cheddad, Abbas; McKevit, Paul

About the subject

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