@inproceedings{cb672b8dda75494b8ca6c1a72fceb32e,
title = "DWT-based watermarking technique for video authentication",
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 = "filter banks, video coding, watermarking",
author = "Farhan Alenizi and Fadi Kurdahi and Ahmed Eltawil and Abdullah Aljumah",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015 ; Conference date: 06-12-2015 Through 09-12-2015",
year = "2016",
month = mar,
day = "23",
doi = "10.1109/ICECS.2015.7440244",
language = "English",
series = "Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "41--44",
booktitle = "2015 IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2015",
address = "United States",
}