Comparison of two wavelet based image watermarking schemes

This paper presents two semi-blind watermarking techniques, based on sets of significant wavelet coefficients, in the three lowest detail subbands of a cover-image. The first method modifies the magnitude of triplets of significant coefficients, according to a sequence of information bits. We show that multiple marks can be embedded in an image. The second method considers rectangular blocks of coefficients, and a uniform quantization-based watermarking scheme. The extraction algorithm requires one to know the position of the sets of watermarked coefficients in order to retrieve the hidden sequence of information bits. Experimental results show the robustness of the two methods, to different kinds of classical signal processing attacks.

[1]  Gonzalo R. Arce,et al.  Joint wavelet compression and authentication watermarking , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[2]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[3]  Ross J. Anderson,et al.  Evaluation of copyright marking systems , 1999, Proceedings IEEE International Conference on Multimedia Computing and Systems.

[4]  Deepa Kundur,et al.  Digital watermarking using multiresolution wavelet decomposition , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[5]  H J Wang,et al.  Wavelet-based digital image watermarking. , 1998, Optics express.

[6]  Mauro Barni,et al.  DWT-based technique for spatio-frequency masking of digital signatures , 1999, Electronic Imaging.

[7]  Kineo Matsui,et al.  Embedding a seal into a picture under orthogonal wavelet transform , 1996, Proceedings of the Third IEEE International Conference on Multimedia Computing and Systems.

[8]  Mauro Barni,et al.  A DCT-domain system for robust image watermarking , 1998, Signal Process..

[9]  Franck Davoine Triangular meshes: A solution to resist to geometric distortions based watermark-removal softwares , 2000, 2000 10th European Signal Processing Conference.

[10]  Akihiro Yamamoto,et al.  A digital watermark based on the wavelet transform and its robustness on image compression , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).