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An Improved Self-Embedding Algorithm: A Robust Protection against Lossy Compression Attacks in Digital Image Watermarking

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

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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Abstract

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
ID Code:17390
Deposited By:Dr Joan Condell
Deposited On:26 May 2011 15:59
Last Modified:26 May 2011 15:59

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