Security Enhancement for Watermarking Technique Using Content based Image Segmentation

Devising new methods for watermarking with high robustness capabilities is still a challenging research problem. Most of the already proposed schemes suffer from some drawbacks. These proposed algorithms are robust for some range of attacks, but not most of them. As an example, they can not sustain in front of rotation or cropping. This work is a continuation of our works reported in [1-2]. The paper combines both techniques in [1] and [2] to propose a novel watermarking method for data hiding in media signal operating in the frequency domain using content based image segmentation with security enhancing technique. Such watermarking methods present additional advantages over the published watermarking schemes in terms of detection and recovery from geometric attacks, and with better security characteristics.

[1]  Emanuele Trucco,et al.  Making good features track better , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[2]  P. P. Vaidyanathan,et al.  Multirate digital filters, filter banks, polyphase networks, and applications: a tutorial , 1990, Proc. IEEE.

[3]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[4]  Xiang-Gen Xia,et al.  A multiresolution watermark for digital images , 1997, Proceedings of International Conference on Image Processing.

[5]  C.-C. Jay Kuo,et al.  Image protection via watermarking on perceptually significant wavelet coefficients , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[6]  Adam Baumberg,et al.  Reliable feature matching across widely separated views , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[7]  Mohammad S. Obaidat,et al.  Digital watermarking-based DCT and JPEG model , 2003, IEEE Trans. Instrum. Meas..

[8]  Mohammad S. Obaidat,et al.  Content-based image segmentation , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[9]  I. Daubechies Ten Lectures on Wavelets , 1992 .

[10]  C.-C. Jay Kuo,et al.  An integrated progressive image coding and watermark system , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[11]  Ahmed H. Tewfik,et al.  Parametrization of compactly supported orthonormal wavelets , 1993, IEEE Trans. Signal Process..

[12]  F. W. Kellaway,et al.  Advanced Engineering Mathematics , 1969, The Mathematical Gazette.

[13]  Mohammad S. Obaidat,et al.  Security Enhancement of Multimedia Copyright Protection , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

[14]  Mark de Berg,et al.  Computational geometry: algorithms and applications , 1997 .

[15]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[16]  Thomas L. Harman,et al.  Advanced Engineering Mathematics Using Matlab V.4 , 1996 .

[17]  Sushil K. Bhattacharjee,et al.  Towards second generation watermarking schemes , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).