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Robust Digital Image Watermarking Algorithm Using BPN Neural Networks

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

This paper proposes a new watermarking scheme in which a logo watermark is embedded into the spatial domain of the original image using Back-Propagation neural networks (BPN). BPN will learn the characteristic of the image, and then watermark is embedded and extracted by the trained BPN. The image is divided into 8(8 blocks and the average pixel value of each block is used as the desired output value of the BPN. The quantized DC coefficient of discrete cosine transform (DCT) domain of each block is used as input value of the BPN to be trained. After the BPN is trained using those input/output values, watermark is embedded into the spatial domain using the trained BPN. The trained BPN also used in watermark extracting process. Experimental results show that the proposed method has good imperceptibility and high robustness to common image processing.

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Author information

Authors and Affiliations

  1. Department of Information Engineering & NPT Center, Myongji University, Yongin, Kyunggi, 449-728, South Korea

    Cheng-Ri Piao, Wei-zhong Fan, Dong-Min Woo & Seung-Soo Han

Authors
  1. Cheng-Ri Piao
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  2. Wei-zhong Fan
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  3. Dong-Min Woo
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  4. Seung-Soo Han
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Piao, CR., Fan, Wz., Woo, DM., Han, SS. (2006). Robust Digital Image Watermarking Algorithm Using BPN Neural Networks. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_42

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  • DOI: https://doi.org/10.1007/11760191_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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