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EBR Analysis of Digital Image Watermarking

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Proceedings of International Conference on Computer Science and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

Abstract

An error bit rate (EBR) analysis of digital image watermarking is proposed based on information theory. This work researches how to embed a large number of watermark information in the same time maintaining a low error probability or researches the relationship between watermark payload capacity and EBR. The EBR of watermarking will drop with the decrease in watermark payload capacity. When payload capacity is less than channel capacity, the EBR will keep in a lower level.

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References

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Acknowledgments

This research was supported by the Foundation of Education Bureau of Henan Province, China (Grant No. 2010B520003), Key Science and Technology Program of Henan Province, China (Grant Nos. 132102210133 and 132102210034), and the Key Science and Technology Projects of Public Health Department of Henan Province, China (Grant No. 2011020114).

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Authors and Affiliations

  1. College of Computer and Information Engineering, Henan University, Kaifeng, 475001, China

    Fan Zhang

  2. Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475001, China

    Xinhong Zhang

  3. Software School, Henan University, Kaifeng, 475001, China

    Fan Zhang & Xinhong Zhang

Authors
  1. Fan Zhang
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  2. Xinhong Zhang
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Corresponding author

Correspondence to Fan Zhang .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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© 2014 Springer India

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Zhang, F., Zhang, X. (2014). EBR Analysis of Digital Image Watermarking. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_2

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  • DOI: https://doi.org/10.1007/978-81-322-1759-6_2

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

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