A Quantization-Based Image Watermarking Scheme Using Vector Dot Product

  • Yueh-Hong ChenEmail author
  • Hsiang-Cheh Huang
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 63)


In this paper, we proposed a quantization-based watermarking scheme for image data. To increase the robustness of the watermark, each bit of a binary watermark string is embedded into a vector composed of several wavelet coefficients selected from low and middle frequency do- main of an image. The proposed scheme is based on quantization technique, so the space of the vector is divided into several subspaces. Then, the vector is modified such that it will fall into the subspace corresponding to the value of the watermark bit. Since subspaces divided by quantization operation are distributed over the whole space, the vector could be modified so that the square error is minimized. The experimental results illustrate that the proposed method can generate a more robust watermark while keeping image fidelity.


Image Watermarking Quantization Steganography 


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  1. 1.
    Chen, Y.H., Huang, H.C.: Adaptive image watermarking optimized for pre-specified fidelity. In: in International Conference on Innovative Computing, Information and Control. pp. 1305–1308 (December 2009)Google Scholar
  2. 2.
    Chen, Y.H., Su, J.M., Fu, H.C., Huang, H.C., Pao, H.T.: Adaptive watermarking using relationships between wavelet coefficients. In: 2005 IEEE International Symposium on Circuits and Systems (ISCAS 2005). vol. 5, pp. 4979– 4982 (May 2005)Google Scholar
  3. 3.
    Duan, F.Y., King, I., Chan, L.W.W., Xu, L.: Intra-block max-min algorithm for embedding robust digital watermark into images. Multimedia Information Analysis and Retrieval pp. 255–264 (1998)Google Scholar
  4. 4.
    Hsu, C.T., Wu, J.L.: Hidden digital watermarks in images. IEEE Trans. Image Processing 8(1), 58–68 (January 1999)Google Scholar
  5. 5.
    Huang, C.H., Wu, J.L.: A watermark optimization technique based on genetic algorithms. In: SPIE Electronic Imaging 2000. San Jose (January 2000)Google Scholar
  6. 6.
    Koch, E., Zhao, J.: Towards robust and hidden image copyright labeling. In: Proc. of 1995 IEEE Workshop on Nonlinear Signal and Image Processing. pp. 452–455. Halkidiki, Greece (June 1995)Google Scholar
  7. 7.
    Nikolaidis, N., Pitas, L.: Copyright protection of images using robust digital signatures. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP1996). vol. 4, pp. 2168–2171 (May 1996)Google Scholar
  8. 8.
    Ruanaidh, J.O., Dowling, W.J., Boland, F.: Phase watermarking of digital images. In: International Conference on Image Processing. vol. 3, pp. 239–242 (Septemter 1996)Google Scholar
  9. 9.
    Zhao, J., Koch, E.: Embedding robust labels into images for copyright protection. In: International Congress on Intellectual Property Rights for Specialised Information, Knowledge and New Technologies. Vienna, Austria (21–25 1995)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Computer Science and Information EngineeringFar East UniversityTainanTaiwan
  2. 2.Department of Electrical EngineeringNational Kaohsiung UniversityKaohsiungTaiwan

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