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Comparisons and Analysis of DCT-based Image Watermarking Algorithms

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Advanced Techniques in Computing Sciences and Software Engineering
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Abstract

This paper provides analysis and comparisons between three main Discrete Cosine Transform-based watermarking algorithms. The comparisons are made based on the degree of degradation the algorithms introduce after embedding the watermark, as well as the Percentage Error Bits (PEB) of the reconstructed watermark with respect to the original watermark. The algorithms’ computational requirements (measured in the total elapsed time on a unified platform) are also considered. Although the three techniques use the same concept, the results show that they behave differently. This variation in the behavior makes each of them suitable for different spectrum of applications.

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References

  1. Mauro. Barni and Franco. Bartolini. Book: Watermarking Systems Engineering. ISBN:0–8247–4806–9 2004.

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  2. S.A. Kyem, “The Discrete Cosine Transform (DCT) : Theory and Application”. Michigan State University,2003.

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  3. E. Koch, and J. Zhao. Towards Robust and hidden image copyright labeling 1995.

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  4. Dave. Benham , Nasir. Memon, and Boon-lock. Yeo. Fast watermarking of DCT-based compressed images Information hiding: First international workshop , 1996.

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  5. Chiou-Ting. Hsu and Ja-Ling. Wu. Hidden digital watermarks in images. IEEE Transactions on image processing, 1999.

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Acknowledgment

The authors would like to thank the German University in Cairo (GUC) and the Advanced Technology Information Processing Systems (ATIPS) Laboratory and for supporting this research.

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Correspondence to Ihab Amer .

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© 2010 Springer Science+Business Media B.V.

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Amer, I., Hishmat, P., Badawy, W., Jullien, G. (2010). Comparisons and Analysis of DCT-based Image Watermarking Algorithms. In: Elleithy, K. (eds) Advanced Techniques in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3660-5_10

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  • DOI: https://doi.org/10.1007/978-90-481-3660-5_10

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-3659-9

  • Online ISBN: 978-90-481-3660-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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