DWT-based watermarking technique for video authentication

Farhan Alenizi; Fadi Kurdahi; Ahmed Eltawil; Abdullah Aljumah

doi:10.1109/ICECS.2015.7440244

DWT-based watermarking technique for video authentication

Farhan Alenizi, Fadi Kurdahi, Ahmed Eltawil, Abdullah Aljumah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781509002467
DOIs	https://doi.org/10.1109/ICECS.2015.7440244
State	Published - Mar 23 2016
Externally published	Yes

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Generated from Scopus record by KAUST IRTS on 2019-11-20

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10.1109/ICECS.2015.7440244

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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.",

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year = "2016",

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doi = "10.1109/ICECS.2015.7440244",

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T1 - DWT-based watermarking technique for video authentication

AU - Alenizi, Farhan

AU - Kurdahi, Fadi

AU - Eltawil, Ahmed

AU - Aljumah, Abdullah

N1 - Generated from Scopus record by KAUST IRTS on 2019-11-20

PY - 2016/3/23

Y1 - 2016/3/23

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/document/7440244/

UR - http://www.scopus.com/inward/record.url?scp=84964869474&partnerID=8YFLogxK

U2 - 10.1109/ICECS.2015.7440244

DO - 10.1109/ICECS.2015.7440244

M3 - Conference contribution

SN - 9781509002467

BT - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

DWT-based watermarking technique for video authentication

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