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...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2023
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| Online Access: | http://hdl.handle.net/20.500.11937/94614 |
| _version_ | 1848765889950777344 |
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| author | Teoh, Yuan Ju |
| author_facet | Teoh, Yuan Ju |
| author_sort | Teoh, Yuan Ju |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T11:42:26Z |
| format | Thesis |
| id | curtin-20.500.11937-94614 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:42:26Z |
| publishDate | 2023 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-946142024-03-27T23:49:40Z A Robust SVD-based Watermarking Algorithm using Orthogonal Vectors and Optimal Scaling Factor for Solving False-Positive Problem and Sensitivity Issue Teoh, Yuan Ju 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. 2023 Thesis http://hdl.handle.net/20.500.11937/94614 Curtin University restricted |
| spellingShingle | Teoh, Yuan Ju A Robust SVD-based Watermarking Algorithm using Orthogonal Vectors and Optimal Scaling Factor for Solving False-Positive Problem and Sensitivity Issue |
| title | A Robust SVD-based Watermarking Algorithm using
Orthogonal Vectors and Optimal Scaling Factor for
Solving False-Positive Problem and Sensitivity Issue |
| title_full | A Robust SVD-based Watermarking Algorithm using
Orthogonal Vectors and Optimal Scaling Factor for
Solving False-Positive Problem and Sensitivity Issue |
| title_fullStr | A Robust SVD-based Watermarking Algorithm using
Orthogonal Vectors and Optimal Scaling Factor for
Solving False-Positive Problem and Sensitivity Issue |
| title_full_unstemmed | A Robust SVD-based Watermarking Algorithm using
Orthogonal Vectors and Optimal Scaling Factor for
Solving False-Positive Problem and Sensitivity Issue |
| title_short | A Robust SVD-based Watermarking Algorithm using
Orthogonal Vectors and Optimal Scaling Factor for
Solving False-Positive Problem and Sensitivity Issue |
| title_sort | robust svd-based watermarking algorithm using
orthogonal vectors and optimal scaling factor for
solving false-positive problem and sensitivity issue |
| url | http://hdl.handle.net/20.500.11937/94614 |