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    A Robust SVD-based Watermarking Algorithm using Orthogonal Vectors and Optimal Scaling Factor for Solving False-Positive Problem and Sensitivity Issue

    Access Status
    Fulltext not available
    Embargo Lift Date
    2026-03-06
    Authors
    Teoh, Yuan Ju
    Date
    2023
    Supervisor
    Wei Kitt Wong
    Ing Chew
    Type
    Thesis
    Award
    MPhil
    
    Metadata
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    Faculty
    Curtin Malaysia
    School
    Curtin Malaysia
    URI
    http://hdl.handle.net/20.500.11937/94614
    Collection
    • Curtin Theses
    Abstract

    Singular value decomposition (SVD)-based watermarking scheme is a popular technique proposed as a copyright protection method for digital data. However, false-positive problem (FPP) is a vulnerability of SVD-based watermarking scheme that an adversary can exploit to claim the data’s ownership of the rightful owner. This research proposed a hybrid SVD-based image watermarking scheme along with Particle Swarm Optimization algorithm that is able to solve FPP and achieve the desired balance between imperceptibility and robustness.

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