A Normalization-based Robust Image Watermarking Scheme Using SVD and DCT

Authors: Say Wei Foo, Qi Dong

Abstract:

Digital watermarking is one of the techniques for copyright protection. In this paper, a normalization-based robust image watermarking scheme which encompasses singular value decomposition (SVD) and discrete cosine transform (DCT) techniques is proposed. For the proposed scheme, the host image is first normalized to a standard form and divided into non-overlapping image blocks. SVD is applied to each block. By concatenating the first singular values (SV) of adjacent blocks of the normalized image, a SV block is obtained. DCT is then carried out on the SV blocks to produce SVD-DCT blocks. A watermark bit is embedded in the highfrequency band of a SVD-DCT block by imposing a particular relationship between two pseudo-randomly selected DCT coefficients. An adaptive frequency mask is used to adjust local watermark embedding strength. Watermark extraction involves mainly the inverse process. The watermark extracting method is blind and efficient. Experimental results show that the quality degradation of watermarked image caused by the embedded watermark is visually transparent. Results also show that the proposed scheme is robust against various image processing operations and geometric attacks.

Keywords: Image watermarking, Image normalization, Singularvalue decomposition, Discrete cosine transform, Robustness.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077868

References:

[1] S.W. Foo, H.S. Muh, and N.M. Mei "Image watermarking using timefrequency compression expansion" IEEE International Symposium on Circuits and Systems, 2004, pp. 201-204.
[2] S.W. Foo, X. Feng, and M. Li "A blind imagewatermarking scheme using peak point extraction", IEEE International Symposium on Circuits and Systems, 2005, pp. 4409-4412.
[3] M. Acevedo, "Image watermarking: properties, techniques and evaluation. Multimedia security: Steganography and Digital Watermarking Techniques for Protection of Intellectual Property, Idea Group Publishing. Pennsylvania, 2005.
[4] S.W. Foo, Y.T. Hee, and H.D. Yan, "An adaptive image watermarking system", IEEE Tencon 2005, pp. 509-513.
[5] N. Cvejic and T. Seppänen, "Audio watermarking: requirement, algorithms, and benchmarking". Digital watermarking for digital media, Information Science Publishing, Pennsylvania, 2005.
[6] J. Foote, J. Adco, and A. Girgensohn, "Time base modulation: a new approach to watermarking audio"
[Electronic Version], Palo Alto Laboratory. California. 2003.
[7] M.A. Suhail, "Digital watermarking for protection of intellectual property". Multimedia security: steganography and digital watermarking techniques for protection of intellectual property, Idea Group Publishing. Pennsylvania, 2006.
[8] P. Bassia, W.T. Pitas, "Robust Audio Watermarking In Time Domain", EUSIPCO 1998, 8-11 Sept., Patras, Greece, pp. 25-28.
[9] D. Gruhl, A. Lu, and W. Bender, "Echo Hiding for Watermarking", in Proc. Information Hiding Workshop, University of Cambridge, U.K., 1999, pp. 295-315.
[10] K. Seits, and T. Jahnke, "Digital watermarking: an introduction". In Seits, J, Digital watermarking for digital media, Information Science Publishing. Pennsylvania, 2006.
[11] R. Garcia, "Digital Watermarking of Audio Signals Using a Psychoacoustic Auditory Model and Spread Spectrum Theory", 107th Convention, Audio Engineering Society, New York, 1999.
[12] H.J. Kim, Y.H. Choi & J.W. Seok and K.H. Hong. "Audio Watermarking Techniques: Intelligent Watermarking Techniques". Chapter 8, 185-218, 2005.
[13] J, Seitz, S.H. Michale, "Digital Watermarking for Digital Media," Information Science Publishing, 2005.
[14] N. Cvejic and T. Seppänen, "Increasing robustness of LSB audio steganography by reduced distortion LSB coding," Journal of University Computer Science, vol 11, p56, 2006.
[15] C. Hsieh. & P. Tsou. "Blind Cepstrum Domain Audio Watermarking Based on Time Energy Features". 4th Int. Conf. on Digital Signal Processing, 705-708, 2004.
[16] K.N. Garcia. "Digital Watermarking of Audio Signals Using a Psychoacoustic Auditory Model and Spread Spectrum Theory". 107th Convention, Audio Engineering Society, preprint 5073, 2006.
[17] L. Wu, P.C. Su and M. Kuo "Robust Audio Watermarking for Copyright Protection". SPIE-s 44th Annual Meeting Advanced Signal Processing Algorithms, Architectures, and Implementations IX. 2003.
[18] B. Vladimir, K.E. Rao. "An Efficient Implementation of the Forward and Inverse MDCT in MPEG Audio Coding". IEEE Signal Processing Letters, Vol.8, No.2, 2005.