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Wavelet-Based Image Watermarking Using the Genetic Algorithm

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

Image watermarking provides copyright protection of digital image by hiding appropriate information in the original image in such a way that it does not cause degradation of the perceptual image quality and cannot be removed. The watermarking methods for transform domains are usually achieved by using the discrete cosine transform or the discrete wavelet transform. In this paper, we develop a technique for optimizing the image watermarking using the genetic algorithm applied to the wavelet transform domain to improve the quality of the watermarked image and the robustness of the watermark. We then compare our experimental results with the results of previous works.

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References

  1. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure Spread Spectrum Watermarking for Multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  2. Xia, X.-G., Boncelet, C.G., Arce, G.R.: A Multiresolution Watermark for Digital Images. In: Proceeding of the IEEE International Conference on Image Processing ICIP 1997, Santa Barbara, California (USA), October 1997, pp. 548–551 (1997)

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  3. Huang, C.-H., Wu, J.-L.: A Watermark Optimization Technique based on Genetic Algorithms. In: Proceeding of the SPIE-Visual Communications and Image Processing, San Jose, California (USA), February 2000, pp. 516–523 (2000)

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  4. Dugad, R., Ratakonda, K., Ahuja, N.: A New Wavelet-Based Scheme for Watermarking Images. In: Proceeding of the Conference on Image Processing ICIP 1998, October 1998, pp. 419–423 (1998)

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  5. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image Quality Assessment: From Error Measurement to Structural Similarity. IEEE Transactions on Image Processing 13(4) (April 2004)

    Google Scholar 

  6. Srikaew, A.: Genetic Algorithms. Suranaree Journal of Science and Technology 1, 69–83 (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Signal and Image Processing Research Group, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasrima, Thailand

    Prayoth Kumsawat & Kitti Attkitmongcol

  2. Intelligent System Research Group, School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, 111 University Avenue, Muang District, Nakhon Ratchasrima, Thailand

    Arthit Srikaew & Sarawut Sujitjorn

Authors
  1. Prayoth Kumsawat
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  2. Kitti Attkitmongcol
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  3. Arthit Srikaew
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  4. Sarawut Sujitjorn
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Kumsawat, P., Attkitmongcol, K., Srikaew, A., Sujitjorn, S. (2004). Wavelet-Based Image Watermarking Using the Genetic Algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_86

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_86

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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