Robust Audio Watermarking based on Hybrid Transformation for Copyright Protection | ||
| Iraqi Journal of Information Technology | ||
| Article 1, Volume 8, Issue 4, October 2018, Pages 38-64 | ||
| Authors | ||
| Ameer A. Badr; Matheel E. Abdulmunem | ||
| Abstract | ||
| In recent years, due to the rapid development of internet and multimedia technology, transmission and distribution of multimedia data have become an extremely simple task. This has become a serious threat for multimedia content owners. Thus, there is significant interest for copyright protection of multimedia data. In this paper, a secure robust blind audio watermarking algorithm for copyright protection based on hybrid transformation was proposed. Initially the audio signal is decomposed by Discrete Wavelet Transform (DWT) and then the low frequency coefficient is selected and made into frames. Then, Hilbert Transform (HT) followed by Discrete Cosine Transform (DCT) are conducted on every frame. From each audio signal, essential features are extracted and then encoded to generate QR code as an adaptive watermark image, this watermark image is then encrypted by using chaotic sequence. Then the watermark bits are embedded into DCT coefficient by QIM depending on frame number. The experimental outcomes suggest that this algorithm is robust against various signal attacks, imperceptible and has a high average Signal to Noise Ratio (SNR) value up to 59 db. | ||
| Keywords | ||
| Robust audio watermarking; Transformation techniques; QR Code | ||
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