• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2012 Vol.3(4): 487-490 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2012.V3.281

A Blind Video Watermarking Scheme Based on 3D Discrete Wavelet Transform

Majid Masoumi and Shervin Amiri

Abstract—In this paper a novel digital watermarking method for video based on multi-resolution wavelet decomposition is proposed. The core idea behind our proposed technique is to use the scene change analysis to embed the watermark into DWT coefficients of detected motion scene frames. So every bit of the watermark is spread over the three dimensional wavelet coefficients of LH, HL and HH by using pseudo-random numbers. Extraction process is done without using the original video, namely, blind detection. The resulting watermarking scheme can be used for public watermarking applications, where the original video is not available for watermark extraction. Experimental results show the robustness and the invisibility of the embedded watermark against lots of attacks, containing: frame averaging, frame dropping, frame swapping and lossy compression.

Index Terms— Video watermarking, scene change detection, Discrete Wavelet Transform (DWT), spread spectrum.

 

M. Masoumi is with the Electrical Engineering Department, Islamic Azad University Qazvin Branch, Qazvin, Iran (e-mail: masoumiii@ yahoo.com).

S. Amiri is Scientific Member of E.E. Department of Iranian Research Organization for Science and Technology (IROST), Tehran, Iran (e-mail: amiri@irost.org)

 

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Cite: Majid Masoumi and Shervin Amiri, "A Blind Video Watermarking Scheme Based on 3D Discrete Wavelet Transform," International Journal of Innovation, Management and Technology vol. 3, no. 4, pp. 487-490, 2012.

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