Title :
DWT-based watermarking technique for video authentication
Author :
Farhan Alenizi;Fadi Kurdahi;Ahmed Eltawil;Abdullah Aljumah
Author_Institution :
Center for Embedded and Cyber-Physical Systems, University of California, Irvine (UCI) Irvine, California
Abstract :
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.
Keywords :
"Watermarking","Correlation","Discrete wavelet transforms","Filter banks","Robustness","Image reconstruction"
Conference_Titel :
Electronics, Circuits, and Systems (ICECS), 2015 IEEE International Conference on
DOI :
10.1109/ICECS.2015.7440244