A Digital Watermarking Algorithm Based on Wavelet Transform

Abstract:

Digital watermarking is a new information security technology, and it uses the information to protect the security of multimedia data hiding technique. Digital watermarking in wavelet domain can make effective use of the human visual system characteristics, and can be compatible with the international compression standard, and the embedding watermark signal energy can be distributed to all of the pixel space. Based on the characteristic of multi-resolution wavelet decomposition and human visual system model matching, digital watermarking algorithm based on wavelet transform is proposed in this paper. The algorithm for tamper proof is designed by quantifying the significant wavelet coefficients to embed watermark sequence. Preprocessing and quantifying the image of this algorithm are studied, which resolves the rounding error and overflow problem brought by the watermarked image pixel values of wavelet transform. Through various attack test and analysis, the experimentation shows that it has strong robustness, can resist many common image attacks, and has strong practicability.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 3992-3995
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.3992
• Online since: November 2014
• Authors: Xiao Qiang Yang
• Keywords: Digital Watermarking, Robustness, Wavelet Transform (WT)

References

[1] Viola P, Jones M J. Robust real-time face detection. International Journal of Computer Vision, 2004, 57(2), pp.137-154.

DOI: 10.1023/b:visi.0000013087.49260.fb

[2] P. Wu and L. Chen, An efficient architecture for two-dimensional discretewavelet transform, IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 4, Apr. 2001, p.536–545.

DOI: 10.1109/76.915359

[3] K. C. B. Tan and T. Arslan, An embedded extension algorithm for thelifting based discrete wavelet transform in JPEG2000, in Proc. IEEE Int. Conf. Acoustic, Speech, and Signal Processing, 2002, vol. 4, p.3513–3516.

DOI: 10.1109/icassp.2002.1004670

[4] Shan S，Gao W, Cao B, et al. Illumination normalization for robust face recognition against varying lighting conditions[C]/Proc IEEE Workshop on AMFG, 2003, pp.157-164.

DOI: 10.1109/amfg.2003.1240838

[5] Yang M H, Kriegman D, Ahuja N. Detecting faces in images: A survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(1), pp.34-58.

DOI: 10.1109/34.982883

[6] Chengyi Xiong, Jinwen Tian, and Jian Liu。Efficient Architectures for Two-Dimensional Discrete Wavelet Transform Using Lifting Scheme。IEEE Transactions on Image processing, vol. 16, No. 3, March 2007 607—614.

DOI: 10.1109/tip.2007.891069