Wavelet-Based Image Watermarking Using the Genetic Algorithm

  • Prayoth Kumsawat
  • Kitti Attkitmongcol
  • Arthit Srikaew
  • Sarawut Sujitjorn
Part of the Lecture Notes in Computer Science book series (LNCS, 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. 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)CrossRefGoogle Scholar
  2. 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)Google Scholar
  3. 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)Google Scholar
  4. 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)Google Scholar
  5. 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. 6.
    Srikaew, A.: Genetic Algorithms. Suranaree Journal of Science and Technology 1, 69–83 (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Prayoth Kumsawat
    • 1
  • Kitti Attkitmongcol
    • 1
  • Arthit Srikaew
    • 2
  • Sarawut Sujitjorn
    • 2
  1. 1.Signal and Image Processing Research Group, School of Electrical Engineering, Institute of EngineeringSuranaree University of TechnologyNakhon RatchasrimaThailand
  2. 2.Intelligent System Research Group, School of Electrical Engineering, Institute of EngineeringSuranaree University of TechnologyNakhon RatchasrimaThailand

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