Yogarajah, Pratheepan, Condell, Joan, Curran, Kevin, McKevitt, Paul and Cheddad, Abbas (2010) An Improved Self-Embedding Algorithm: A Robust Protection against Lossy Compression Attacks in Digital Image Watermarking. International Journal of Image Processing and Communications, 15 (1). pp. 47-59. [Journal article]
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Watermarking is the process of embedding watermark into an image such that embedded watermark can be extracted later. 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.
|Item Type:||Journal article|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute|
Computer Science Research Institute > Intelligent Systems Research Centre
|Deposited By:||Dr Joan Condell|
|Deposited On:||26 May 2011 14:59|
|Last Modified:||09 Dec 2015 10:54|
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