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Memetic Algorithm-Based Image Watermarking Scheme

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Advances in Neural Networks - ISNN 2008 (ISNN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5263))

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Abstract

Watermarking technology is the most efficient way to protect the ownership of multimedia data. In this paper, a novel image watermarking scheme using the Discrete Wavelet Transform (DWT) and memetic algorithm (MA) is introduced. The watermark is embedded to subband coefficients of subimage which is extracted from the original image by using DWT, and watermark extraction is efficiently performed via memetic algorithm. Experimental results show that the proposed watermarking scheme makes an almost invisible difference between the watermarked image and the original image, and is robust to common image processing operations.

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Henan University of Technology, Zheng Zhou, 450052, China

    Qingzhou Zhang, Ziqiang Wang & Dexian Zhang

Authors
  1. Qingzhou Zhang
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  2. Ziqiang Wang
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  3. Dexian Zhang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghu University, 100084, Beijing, China

    Fuchun Sun

  2. Institute TAMS (Technical Aspects of Multimodal Systems), department of Informatics, University of Hamburg, Vogt-Koelln-Straße 30, 22527, Hamburg, Germany

    Jianwei Zhang

  3. Intel China Research Center, 8/F, Peking University, Department of Machine Intelligence, 100871, Beijing, China

    Ying Tan

  4. Department of Mathematics, Southeast University, 210096, Nanjing, China

    Jinde Cao

  5. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhang, Q., Wang, Z., Zhang, D. (2008). Memetic Algorithm-Based Image Watermarking Scheme. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87732-5_93

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  • DOI: https://doi.org/10.1007/978-3-540-87732-5_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87731-8

  • Online ISBN: 978-3-540-87732-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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