A Content Based Image Watermarking Scheme Resilient to Geometric Attacks

Authors: Latha Parameswaran, K. Anbumani

Abstract:

Multimedia security is an incredibly significant area of concern. The paper aims to discuss a robust image watermarking scheme, which can withstand geometric attacks. The source image is initially moment normalized in order to make it withstand geometric attacks. The moment normalized image is wavelet transformed. The first level wavelet transformed image is segmented into blocks if size 8x8. The product of mean and standard and standard deviation of each block is computed. The second level wavelet transformed image is divided into 8x8 blocks. The product of block mean and the standard deviation are computed. The difference between products in the two levels forms the watermark. The watermark is inserted by modulating the coefficients of the mid frequencies. The modulated image is inverse wavelet transformed and inverse moment normalized to generate the watermarked image. The watermarked image is now ready for transmission. The proposed scheme can be used to validate identification cards and financial instruments. The performance of this scheme has been evaluated using a set of parameters. Experimental results show the effectiveness of this scheme.

Keywords: Image moments, wavelets, content-based watermarking, moment normalization, geometric attacks.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1080584

References:

[1] Tuang-Lam Le and Thi-Huango-Lan Nguyen, "Digital Image Watermarking with Geometric Distortion Correction using the Image Moment Theory", International Conference, RVIF, Hanoi, Feb 2004.
[2] J J K O- Ruanaidh and T Pun, "Rotation Scale and Translation invariant spread spectrum digital watermarking" Signal Processing, 1998.
[3] M Alghoniemy and A H Tewfik, "Geometric distortion through Image Normalization", Proceedings of International Conference on Multimedia Expo, 2000.
[4] M. Kutter, F A P Petitcolas, "A Fair Benchmark for Image Watermarking Systems", Electronic Imaging, The International Society for Optical Engineering, Jan 1999.
[5] M Alghoniemy and A H Tewfik, "Image Watermarking by moment Invariants" Proceedings of IEEE international conference on Image Processing, Vancouver, 2000.
[6] P Bas, J M Chassery and B Macq, "Geometrically Invariant Watermarking using Feature Points", IEEE Trans. on Image Processing, Vol. 9, 2002.
[7] Latha Parameswaran, "Content Dependent Image Signature for Authentication Using Wavelets", Proceedings of NCIS, Karunya Deemed University, Coimbatore, Nov.2005.
[8] Raymond B Wolfgang and Edward J Delp, "Overview of image security techniques with applications in multimedia systems", ACM Multimedia Workshop, pp. 303 - 310, 2000.
[9] Chai Wah Wu, "On the design of Content-Based Multimedia Authentication Systems", IEEE Transactions on Multimedia, vol. 4 No.3, Sep 2002, pp. 385 - 393.
[10] Chai Wah Wu, "Limitations and requirements of content-based multimedia authentication systems", Proceedings of SPIE vol. 4314, 2001, pp. 241 - 252.
[11] J Cox, J Kilian, T Leighton and T Shamoon, "Secure Spread Spectrum Watermarking", IEEE Trans. on Image Processing, Vol. 6 no. 12, 1997, pp. 1673-1687.
[12] Gonzalez and Woods, "Digital Image Processing", Prentice Hall, 2000.
[13] Amara Graps, "An Introduction to Wavelets, IEEE Trans. On Computational Science and Engineering", 1995, pp 77-86.