DWT-based watermarking technique for video authentication

This paper proposes a wavelet watermarking scheme for video authentication. The discrete wavelet transform (DWT) has been used extensively in recent years in watermarking systems. It provides the necessary perceptual invisibility and robustness. In this paper, a DWT process is implemented using orthonormal filters, where the Y-components of the video frames are decomposed using DWT, and a watermark is inserted in one or more of the resulting subbands. Then, the watermarked video is reconstructed. The filters used for the DWT decompositions are randomly generated to increase the security of the algorithm. This scheme is integrated into the high efficiency video coding (HEVC) technique to examine the whole performance. The simulation results show that the proposed algorithm achieves well in terms of visual and metric tests. The average normalized correlation achieved is 85%, while the mean peak signal-to-noise ratio is 45 dB.

[1]  Jantana Panyavaraporn,et al.  Wavelet based video watermarking scheme for H.264/AVC , 2011, 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS).

[2]  G. Edward Suh,et al.  Physical Unclonable Functions for Device Authentication and Secret Key Generation , 2007, 2007 44th ACM/IEEE Design Automation Conference.

[3]  Jantana Panyavaraporn,et al.  Multiple video watermarking algorithm based on wavelet transform , 2013, 2013 13th International Symposium on Communications and Information Technologies (ISCIT).

[4]  Mathias Wien,et al.  High Efficiency Video Coding: Coding Tools and Specification , 2014 .

[5]  Yiwei Wang,et al.  A wavelet-based watermarking algorithm for ownership verification of digital images , 2002, IEEE Trans. Image Process..

[6]  Iwan Setyawan,et al.  Watermarking digital image and video data. A state-of-the-art overview , 2000 .

[7]  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).

[8]  M. Sundararajan,et al.  DWT based scheme for video watermarking , 2013, 2013 International Conference on Communication and Signal Processing.

[9]  Yuan-Pei Lin,et al.  Wavelet tree quantization for copyright protection watermarking , 2004, IEEE Transactions on Image Processing.

[10]  Héctor M. Pérez Meana,et al.  Analysis of a wavelet-based watermarking algorithm , 2004, 14th International Conference on Electronics, Communications and Computers, 2004. CONIELECOMP 2004..

[11]  Andreas Uhl,et al.  Survey of wavelet-domain watermarking algorithms , 2001, IS&T/SPIE Electronic Imaging.

[12]  Mong-Shu Lee Image Compression And Watermarking By Wavelet Localization , 2003, Int. J. Comput. Math..