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Modern Trends and Techniques in Computer Science pp 3–16Cite as

Intelligence Digital Image Watermark Algorithm Based on Artificial Neural Networks Classifier

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 285))

Abstract

An intelligence robust digital image watermarking algorithm using artificial neural network (ANN) is proposed. In new algorithm, for embedding watermark, the original image first is divided into some N 1 × N 2 small blocks, different embedding strengths are determined by RBFNN classifier according to different textural features of every block after DCT. The experimental results show that the proposed algorithm are robust against common image processing attacks, such as JPEG compression, Gaussian noise, cropping, mean filtering, wiener filtering, and histogram equalization etc. The proposed algorithm achieves a good compromise between the robustness and invisibility, too.

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Acknowledgments

This work was supported by the science and technology research program of Wuhan of China (Grant No. 201210121023).

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Authors and Affiliations

  1. School of Computer Science, Central China Normal University, Wuhan, 430079, People’s Republic of China

    Cong Jin & Shu-Wei Jin

Authors
  1. Cong Jin
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  2. Shu-Wei Jin
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Corresponding author

Correspondence to Cong Jin .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

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© 2014 Springer International Publishing Switzerland

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Jin, C., Jin, SW. (2014). Intelligence Digital Image Watermark Algorithm Based on Artificial Neural Networks Classifier. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-06740-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

  • eBook Packages: EngineeringEngineering (R0)

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