MPEG-1 Video Semi-Blind Watermarking Algorithm in the DWT Domain

A semi-blind image watermarking scheme embeds a pseudo random sequence in all the high pass DWT coefficients above a given threshold T1. The attacked DWT coefficients are then correlated with the original watermark. For watermark detection, all the coefficients higher than another threshold T2 (>T1) are chosen for correlation with the original watermark. This idea was extended to embed the same watermark in two bands (LL and HH). The experiments show that for one group of attacks, the correlation with the real watermark is higher than the threshold in the LL band, and for another group of attacks, the correlation with the real watermark is higher than the threshold in the HH band. In this paper, we embed a pseudo random sequence in MPEG-1 using two bands (LL and HH). The chosen attacks are JPEG compression, resizing, adding Gaussian noise, low pass filtering, rotation, histogram equalization, contrast adjustment, gamma correction, cropping, frame dropping, and frame swapping. Our experiments show that for one group of attacks (i.e., JPEG compression, Gaussian noise, resizing, low pass filtering, rotation, and frame dropping), the correlation with the real watermark is higher than the threshold in the LL band, and for another group of attacks (i.e., cropping, histogram equalization, contrast adjustment, and gamma correction), the correlation with the real watermark is higher than the threshold in the HH band. Only for frame swapping, the correlation with the real watermark is higher than the threshold in both of the bands.

[1]  Ahmet M. Eskicioglu,et al.  A DWT-based robust semi-blind image watermarking algorithm using two bands , 2006, Electronic Imaging.

[2]  Michael G. Strintzis,et al.  Digital watermarking of MPEG-1 and MPEG-2 multiplexed streams for copyright protection , 2001, Proceedings Second International Workshop on Digital and Computational Video.

[3]  Qibin Sun,et al.  A hybrid watermarking scheme for H.264/AVC video , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[4]  Narendra Ahuja,et al.  A new wavelet-based scheme for watermarking images , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[5]  Ja-Ling Wu,et al.  DCT-based watermarking for video , 1998 .

[6]  Ahmed H. Tewfik,et al.  Multiresolution scene-based video watermarking using perceptual models , 1998, IEEE J. Sel. Areas Commun..

[7]  Jeng-Shyang Pan,et al.  ROBUST BLIND VIDEO WATERMARKING WITH ADAPTIVE EMBEDDING MECHANISM , 2005 .

[8]  Edward J. Delp,et al.  Advances in Digital Video Content Protection , 2005, Proceedings of the IEEE.

[9]  Gwenaël J Doërr,et al.  Video watermarking : overview and challenges , 2003 .

[10]  Gabriela Csurka,et al.  Robust 3D DFT video watermarking , 1999, Electronic Imaging.

[11]  Ahmed H. Tewfik,et al.  Multimedia data-embedding and watermarking technologies , 1998, Proc. IEEE.