Hybrid pyramid-DWT-SVD dual data hiding technique for videos ownership protection

Farhan Alenizi, Fadi Kurdahi, Ahmed M. Eltawil, Awad Kh Al-Asmari

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper proposes a hybrid pyramid Discrete-Wavelet-Transform (DWT) Singular-Value-Decomposition (SVD) data hiding scheme for video authentication and ownership protection. The data being hidden will be in the shape of a main color logo image watermark and another secondary Black and White (B&W) logo image. The color watermark will be decomposed to Bit-Slices. A pyramid transform is performed on the Y-frames of a video stream resulting in error images; then, a Discrete Wavelet Transform (DWT) process is implemented using orthonormal filter banks on these error images, and the Bit-Slices watermarks are inserted in one or more of the resulting subbands in a way that is fully controlled by the owner; then, the watermarked video is reconstructed. SVD will be performed on the color watermark Bit-Slices. A secondary B&W watermark will be inserted in the main color watermark using another SVD process. An enhanced detection technique is developed to estimate the Singular Values to reconstruct the original color watermark image. The overall robustness of this scheme is measured when common attacks are applied to the test videos. A main contribution in this research is that the original host video is not required for the extraction process, the good robustness against different attacks specifically compression, transcoding, temporal and geometrical attacks and the duality in the hiding process. The simulation results show that the proposed algorithm achieves well under both the visual and the metric tests. Furthermore, it performed well against intentional and unintentional attacks. The reconstruction was perfect without attacks, while the average Bit-Error-Rates (BER’s) achieved under attacks are in the limits of 2% for the color watermark and 5% for the secondary watermark; meanwhile, the mean Peak Signal-to-Noise Ratio (PSNR) is 57 dB.
Original languageEnglish (US)
JournalMultimedia Tools and Applications
Volume78
Issue number11
DOIs
StatePublished - Jun 15 2019
Externally publishedYes

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