DWT-based watermarking technique for video authentication

Farhan Alenizi, Fadi Kurdahi, Ahmed Eltawil, Abdullah Aljumah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 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 languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781509002467
DOIs
StatePublished - Mar 23 2016
Externally publishedYes

Fingerprint

Dive into the research topics of 'DWT-based watermarking technique for video authentication'. Together they form a unique fingerprint.

Cite this