A Robust Image Watermarking Scheme using Image Moment Normalization

Multimedia security is an incredibly significant area of concern. A number of papers on robust digital watermarking have been presented, but there are no standards that have been defined so far. Thus multimedia security is still a posing problem. The aim of this paper is to design a robust image-watermarking scheme, which can withstand a different set of attacks. The proposed scheme provides a robust solution integrating image moment normalization, content dependent watermark and discrete wavelet transformation. Moment normalization is useful to recover the watermark even in case of geometrical attacks. Content dependent watermarks are a powerful means of authentication as the data is watermarked with its own features. Discrete wavelet transforms have been used as they describe image features in a better manner. The proposed scheme finds its place in validating identification cards and financial instruments.

Authors:

• Latha Parameswaran
• K. Anbumani

Keywords:

• Watermarking
• moments
• wavelets
• content-based
• benchmarking.

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.