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

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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

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...

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Bibliographic Details
Main Author:	Teoh, Yuan Ju
Format:	Thesis
Published:	Curtin University 2023
Online Access:	http://hdl.handle.net/20.500.11937/94614

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