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An Efficient Pattern Substitution Watermarking Method for Binary Images

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Digital Watermarking (IWDW 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6526))

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Abstract

In this paper, a method to decrease the size of location map for non-overlapping pattern substitution method is presented. Original pattern substitution (PS) method has been proposed by Ho et al.[1] as a reversible watermarking scheme for binary images. They use a pair of two patterns to embed data. Unfortunately, their location map is huge in size. In our method, we propose an efficient mechanism which can decrease the size of location map considerably for un-overlapping version of the PS method. Experiment results show that our method works well on decreasing the size of location map. Comparison results with the original PS method demonstrate that the proposed method achieves more embedding capacity and higher PSNR value due to the reduced size of the location map.

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References

  1. Ho, Y.-A., Chan, Y.-K., Wu, H.-C., Chu, Y.-P.: High-capacity reversible data hiding in binary images using pattern substitution. In: Computer Standards and Interfaces, pp. 787–794 (2009)

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  3. Tsai, C.-L., Chiang, H.-F., Fan, K.-C., Chung, C.-D.: Reversible data hiding and lossless reconstruction of binary images using pair-wise logical computationmechanism. In: Pattern Recognition, pp. 1993–2006 (2005)

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  4. Wu, M., Tang, E., Liu, B.: Data hiding in digital binary image. In: IEEE International Conference on Multi-Media and Expo. (2000)

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  5. Xuan, G., Shi, Y.Q., Chai, P., Tong, X., Teng, J., Li, J.: Reversible binary image data hiding by run-length histogram modification. In: 19th International Conference on Pattern Recognition (2008)

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© 2011 Springer-Verlag Berlin Heidelberg

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Dong, K., Kim, HJ. (2011). An Efficient Pattern Substitution Watermarking Method for Binary Images. In: Kim, HJ., Shi, Y.Q., Barni, M. (eds) Digital Watermarking. IWDW 2010. Lecture Notes in Computer Science, vol 6526. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18405-5_15

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  • DOI: https://doi.org/10.1007/978-3-642-18405-5_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18404-8

  • Online ISBN: 978-3-642-18405-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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