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A Novel Color Image Watermarking Method Based on Genetic Algorithm and Hybrid Neural Networks

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Rough Sets and Current Trends in Computing (RSCTC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4259))

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Abstract

In this paper, a novel intensity adaptive color image watermarking algorithm based on genetic algorithm is presented. The adaptive embedding scheme in color image’s three component sub-images’ wavelet coefficients, which belong to texture-active regions, not only improves image quality, but also furthest enhances security and robustness of the watermarked image. Then a novel watermark recovering method is proposed based on hybrid neural networks, which enhance the performance of watermark system successfully. The experimental results show that our method is more flexible than traditional methods and successfully fulfills the compromise between robustness and image quality.

This work is supported by science foundation for young teachers of Northeast Normal University, No. 20061002, China.

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References

  1. Cheung, W.N.: Digital Image Watermarking in the Spatial and Transform Domains. In: Proceedings of TENCON 2000, September 24-27, p. 3 (2000)

    Google Scholar 

  2. Zhang, X.-D., Feng, J., Lo, K.-T.: Image Watermarking using Tree-based Spatial-frequency Feature of Wavelet Transform. Journal of Visual Communication and Image Representation 14, 474–491 (2003)

    Article  Google Scholar 

  3. Fleet, D., Heeger, D.: Embedding invisible information in color images. In: Proc. 4th IEEE International conference on Image Processing, Santa Barbara, USA, vol. 1, pp. 532–535 (1997)

    Google Scholar 

  4. Lu, Y., Wang, W., Kong, J., Han, J., Hou, G.: Joint spatial and frequency domains watermarking algorithm based on wavelet packets. In: Zhang, S., Jarvis, R. (eds.) AI 2005. LNCS, vol. 3809, pp. 934–937. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  5. Kutter, M., Jordan, F., Bossen, F.: Digital watermarking of color images using amplitude modulation. J. Electron. Imaging 7(2), 1064–1087 (1998)

    Article  Google Scholar 

  6. Gen, M., Cheng, R.: Genetic Algorithms and Engineering Design. Wiley, New York (1997)

    Google Scholar 

  7. Suhail, M.A., Obaidat, M.S., Ipson, S.S., Sadoun, B.: A Comparative Study of Digital Watermarking in JPEG and JPEG 2000 Environments. Information Sciences 151, 93–105 (2003)

    Article  MATH  Google Scholar 

  8. Shieh, C.-S., Huang, H.-C., Wang, F.-H., Pan, J.-S.: Genetic watermarking based on transform-domain techniques. Pattern Recognition 37, 555–565 (2004)

    Article  Google Scholar 

  9. Yu, P.-T., Ysai, H.-H., Lin, J.-S.: Digital watermarking based on neural networks for color images. Signal Processing 81, 663–671 (2001)

    Article  MATH  Google Scholar 

  10. Cox, I.J., Kilian, J., Leighton, F.T., Shamoon, T.: Secure spread spectrum watermaking for multimedia. IEEE Trans. Image Process 6(12), 1673–1687 (1997)

    Article  Google Scholar 

  11. Ganic, E., Eskicioglu, A.M.: Robust DWT-SVD domain image watermarking: embedding data in all frequencies. In: Proceedings of 2004 Multimedia and Security Workshop on Multimedia and Security, pp. 166–174 (2004)

    Google Scholar 

  12. Tsai, P., Hu, Y.-C., Chang, C.-C.: A color image watermarking scheme based on color quantization. Signal Processing 84, 95–106 (2004)

    Article  MATH  Google Scholar 

  13. Lee, J.-J., Kim, W., Lee, N.-Y.: A new incremental watermarking based on dual-tree complex wavelet transform. The journal of supercomputing 33, 133–140 (2005)

    Google Scholar 

  14. Chang, C.-C., Tsai, P., Lin, C.-C.: SVD-based digital image watermarking scheme. Pattern Recognition Letters 26, 1577–1586 (2005)

    Article  Google Scholar 

  15. Shih, F.Y., Wu, S.Y.T.: Combinational image watermarking in the spatial and frequency domains. Pattern Recognition 36, 969–975 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Computer School, Northeast Normal University, Changchun, Jilin Province, China

    Yinghua Lu, Jialing Han, Jun Kong, Yulong Yang & Gang Hou

  2. Key Laboratory for Applied Statistics of MOE, China

    Jialing Han & Jun Kong

  3. College of Humanities and Science, Northeast Normal University, Changchun, China

    Gang Hou

Authors
  1. Yinghua Lu
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  2. Jialing Han
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  3. Jun Kong
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  4. Yulong Yang
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  5. Gang Hou
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  2. Graduate School of Engineering, Department of Electrical Engineering and Computer Sciences, University of Hyogo, 2167 Shosha, 671-2280,, Himeji, Hyogo, Japan

    Yutaka Hata

  3. Department of Medical Informatics, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shoji Hirano

  4. Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3, Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Masahiro Inuiguchi

  5. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan

    Sadaaki Miyamoto

  6. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen

  7. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

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© 2006 Springer-Verlag Berlin Heidelberg

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Lu, Y., Han, J., Kong, J., Yang, Y., Hou, G. (2006). A Novel Color Image Watermarking Method Based on Genetic Algorithm and Hybrid Neural Networks. In: Greco, S., et al. Rough Sets and Current Trends in Computing. RSCTC 2006. Lecture Notes in Computer Science(), vol 4259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908029_83

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  • DOI: https://doi.org/10.1007/11908029_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47693-1

  • Online ISBN: 978-3-540-49842-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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