A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection
Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret...
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| Format: | Article |
| Language: | English |
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Elsevier Inc.
2017
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| Online Access: | http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf |
| _version_ | 1848820666698039296 |
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| author | Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled |
| author_facet | Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled |
| author_sort | Makbol, N.M. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely. |
| first_indexed | 2025-11-15T02:13:05Z |
| format | Article |
| id | ump-18413 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:13:05Z |
| publishDate | 2017 |
| publisher | Elsevier Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-184132018-03-29T07:50:48Z http://umpir.ump.edu.my/id/eprint/18413/ A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled QA75 Electronic computers. Computer science Although image watermarking schemes based on singular value decomposition (SVD) demonstrate high robustness and imperceptibility, they are exposed to the false positive problem (FPP). This drawback mostly occurs when embedding steps depend on singular values while singular vectors are used as secret keys. In this study, a new reliable SVD-based image watermarking scheme that uses integer wavelet transform (IWT) is proposed to overcome FPP and fulfil all watermarking requirements. Unlike in other schemes, the S and V matrices of the watermark are used as secret keys, whereas the S singular vector of the watermark is embedded into the singular values of the host image. The additional secret key is obtained from the watermarked image during the embedding process to increase security and avoid FPP completely. To improve the robustness, as well as achieve balance between robustness and imperceptibility, multi-objective ant colony optimization (MOACO) is utilized to find the optimal scaling factors, namely, multiple zooming factors. Results of the robustness, imperceptibility, and reliability tests demonstrate that the proposed IWT-SVD-MOACO scheme outperforms several previous schemes and avoids FPP completely. Elsevier Inc. 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf Makbol, N.M. and Khoo, Bee Ee and Rassem, Taha H. and Loukhaoukha, Khaled (2017) A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection. Information Sciences, 417. pp. 381-400. ISSN 0020-0255. (Published) https://doi.org/10.1016/j.ins.2017.07.026 DOI: 10.1016/j.ins.2017.07.026 |
| spellingShingle | QA75 Electronic computers. Computer science Makbol, N.M. Khoo, Bee Ee Rassem, Taha H. Loukhaoukha, Khaled A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title | A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title_full | A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title_fullStr | A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title_full_unstemmed | A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title_short | A New Reliable Optimized Image Watermarking Scheme Based on the Integer Wavelet Transform and Singular Value Decomposition for Copyright Protection |
| title_sort | new reliable optimized image watermarking scheme based on the integer wavelet transform and singular value decomposition for copyright protection |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/ http://umpir.ump.edu.my/id/eprint/18413/1/1-s2.0-S0020025516322186-main.pdf |