AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING
In this paper, an efficient, highly imperceptible, robust, and secure digital video watermarking technique for content authentication based on Hilbert transform in the Integer Wavelet Transform (IWT) domain has been introduced. The Hilbert coefficients of gray watermark image are embedded into the c...
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| Format: | Article |
| Language: | English |
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Taylor's University
2016-03-01
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| Series: | Journal of Engineering Science and Technology |
| Subjects: | |
| Online Access: | http://jestec.taylors.edu.my/Vol%2011%20issue%203%20March%202016/Volume%20(11)%20Issue%20(3)%20327-345.pdf |
| _version_ | 1818964194205106176 |
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| author | AGILANDEESWARI L. GANESAN K. |
| author_facet | AGILANDEESWARI L. GANESAN K. |
| author_sort | AGILANDEESWARI L. |
| collection | DOAJ |
| description | In this paper, an efficient, highly imperceptible, robust, and secure digital video watermarking technique for content authentication based on Hilbert transform in the Integer Wavelet Transform (IWT) domain has been introduced. The Hilbert coefficients of gray watermark image are embedded into the cover video frames
Hilbert coefficients on the 2-level IWT decomposed selected block on sub-bands using Principal Component Analysis (PCA) technique. The authentication is achieved by using the digital signature mechanism. This mechanism is used to generate and embed a digital signature after embedding the watermarks. Since, the embedding process is done in Hilbert transform domain, the imperceptibility and the robustness of the watermark is greatly improved. At the receiver end, prior to the extraction of watermark, the originality of the content is verified through the
authentication test. If the generated and received signature matches, it proves that the received content is original and performs the extraction process, otherwise deny the extraction process due to unauthenticated received content. The proposed
method avoids typical degradations in the imperceptibility level of watermarked video in terms of Average Peak Signal – to – Noise Ratio (PSNR) value of about 48db, while it is still providing better robustness against common video distortions such as frame dropping, averaging, and various image processing attacks such as noise addition, median filtering, contrast adjustment, and geometrical attacks such as, rotation and cropping in terms of Normalized Correlation Coefficient (NCC) value of about nearly 1. |
| first_indexed | 2024-12-20T12:57:14Z |
| format | Article |
| id | doaj.art-2891c3adbcd64bf6896bceca639c9b3a |
| institution | Directory Open Access Journal |
| issn | 1823-4690 |
| language | English |
| last_indexed | 2024-12-20T12:57:14Z |
| publishDate | 2016-03-01 |
| publisher | Taylor's University |
| record_format | Article |
| series | Journal of Engineering Science and Technology |
| spelling | doaj.art-2891c3adbcd64bf6896bceca639c9b3a2022-12-21T19:40:02ZengTaylor's UniversityJournal of Engineering Science and Technology1823-46902016-03-01113327345AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKINGAGILANDEESWARI L.0GANESAN K. 1School of Information Technology & Engineering (SITE), VIT University, Vellore – 632 014, Tamilnadu, India School of Information Technology & Engineering (SITE), VIT University, Vellore – 632 014, Tamilnadu, India In this paper, an efficient, highly imperceptible, robust, and secure digital video watermarking technique for content authentication based on Hilbert transform in the Integer Wavelet Transform (IWT) domain has been introduced. The Hilbert coefficients of gray watermark image are embedded into the cover video frames Hilbert coefficients on the 2-level IWT decomposed selected block on sub-bands using Principal Component Analysis (PCA) technique. The authentication is achieved by using the digital signature mechanism. This mechanism is used to generate and embed a digital signature after embedding the watermarks. Since, the embedding process is done in Hilbert transform domain, the imperceptibility and the robustness of the watermark is greatly improved. At the receiver end, prior to the extraction of watermark, the originality of the content is verified through the authentication test. If the generated and received signature matches, it proves that the received content is original and performs the extraction process, otherwise deny the extraction process due to unauthenticated received content. The proposed method avoids typical degradations in the imperceptibility level of watermarked video in terms of Average Peak Signal – to – Noise Ratio (PSNR) value of about 48db, while it is still providing better robustness against common video distortions such as frame dropping, averaging, and various image processing attacks such as noise addition, median filtering, contrast adjustment, and geometrical attacks such as, rotation and cropping in terms of Normalized Correlation Coefficient (NCC) value of about nearly 1.http://jestec.taylors.edu.my/Vol%2011%20issue%203%20March%202016/Volume%20(11)%20Issue%20(3)%20327-345.pdfIWTHilbert TransformPCARobustImperceptiblePSNRNCCBERWatermark |
| spellingShingle | AGILANDEESWARI L. GANESAN K. AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING Journal of Engineering Science and Technology IWT Hilbert Transform PCA Robust Imperceptible PSNR NCC BER Watermark |
| title | AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING |
| title_full | AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING |
| title_fullStr | AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING |
| title_full_unstemmed | AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING |
| title_short | AN EFFICIENT HILBERT AND INTEGER WAVELET TRANSFORM BASED VIDEO WATERMARKING |
| title_sort | efficient hilbert and integer wavelet transform based video watermarking |
| topic | IWT Hilbert Transform PCA Robust Imperceptible PSNR NCC BER Watermark |
| url | http://jestec.taylors.edu.my/Vol%2011%20issue%203%20March%202016/Volume%20(11)%20Issue%20(3)%20327-345.pdf |
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