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Hiding digital image watermarking in a sound signal using Wavelet Transform and Singular Value Decomposition | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 15, Volume 10, Issue 4, 2013, Pages 65-83 PDF (809.92 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2013.163557 | ||
| Authors | ||
| Alyaa Moufaq Abdul Majeed Haleem; AlAA Zakaria | ||
| College of Computers Sciences and Mathematics University of Mosul, Mosul, Iraq | ||
| Abstract | ||
| The outgrowing of multimedia applications in communications network brought about an increasing need to provide qualified methods to protect these media and secure communication. These methods include encryption and information hiding. In this research, a new method has been improved to hide watermarking image in voice signal then send it through the network with no effect on the cover sound through the hiding process. This method is performed by applying two ways. The first one is the discrete wavelet transform (DWT) while the second one is singular value decomposition (SVD) by using wavelet transform, we get detail values which are arranged in a specific way and then entered to the singular value decomposition algorithm. Finally we get eign values, which embedding the data of the watermark image inside these values. So, we get the watermark signal with no effects. Also, the recovered image efficiency measurement is performed by using the correlation coefficient between the original and the recovered watermark image and also we apply the measurement of the difference between the original voice signal (cover) and the watermarked voiced signal by using signal to noise ratio (SNR). Matlab is the approval as a programming language in this paper. | ||
| Keywords | ||
| SVD; Information Hiding; watermark; eign value | ||
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