Abstract
The trade-off between the imperceptibility and robustness is one of the most difficult challenges in digital watermarking system. To solve the problem, an optimal algorithm for image watermarking is proposed. The algorithm embeds the watermark by quantizing the wavelet packets coefficients of the image. In the proposed watermarking system, to protect the originality of the watermark image, a scrambled binary watermark embeds in the host image against intentional and unintentional attacks and each bit of the permuted watermark is embedded optimally into selected sub-bands of the decomposed host image by quantization of sub-bands coefficients. From experimental results, it demonstrates the robustness and the superiority of the proposed hybrid scheme.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cox, I.J., Matthew, L.M., Jeffrey, A.B., et al.: Digital Watermarking and Steganography, 2nd edn. Morgan Kaufmann Publishers, Elsevier, Burlington, MA (2007)
Soheili, M.R.: Redundant watermarking using wavelet packets. In: Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications, pp. 591–598 (2008)
Chen, Y.H., Huang, H.C.: Genetic Watermarking Based on Wavelet Packet Transform. In: Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems, vol. 1, pp. 262–265 (2009)
Pun, C.M., Kong, I.K.: Adaptive Quantization of Wavelet Packet Coefficients for Image Watermarking. In: 8th WSEAS Int. Conf. on Multimedia Systems and Signal Processing, pp. 199–204 (2008)
Tsai, M.J., Yu, K.Y., Chen, Y.Z.: Wavelet packet and adaptive spatial transformation of watermark for digital images authentication. IEEE ICIP, 450–453 (2000)
Wei, Z.H., Qin, P., Fu, Y.Q.: Perceptual digital watermark of images using wavelet transform. IEEE Trans. Consumer Electron (44), 1267–1272 (1998)
Wang, Z., Bovik, A.C.: A Universal Image Quality Index. IEEE Signal Processing Letters 9, 81–84 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tao, H., Zain, J.M., Alla, A.N.A., Hongwu, Q. (2010). Particle Swarm Optimization for Digital Image Watermarking. In: Zhang, Y., Cuzzocrea, A., Ma, J., Chung, Ki., Arslan, T., Song, X. (eds) Database Theory and Application, Bio-Science and Bio-Technology. BSBT DTA 2010 2010. Communications in Computer and Information Science, vol 118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17622-7_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-17622-7_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17621-0
Online ISBN: 978-3-642-17622-7
eBook Packages: Computer ScienceComputer Science (R0)