Slantlet Transform Based Digital Audio Watermarking for Copyright Protection of Audio Content
Venkata Lalitha Narla1, Chanamallu Srinivasa Rao2
1Venkata Lalitha Narla, Department of Engineering and Communication Engineering, GMR Institute of Technology, Rajam, AP, India.
2Chanamallu Srinivasa Rao, Department of Engineering and Communication Engineering, University College of Engineering, JNTUK, Vizianagaram, AP, India.
Manuscript received on 14 April 2019 | Revised Manuscript received on 21 May 2019 | Manuscript published on 30 May 2019 | PP: 2259-262 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1133058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Digital audio watermarking (DAW) serves an important role in the protection of copyrights of digital audio content. Many DAW schemes are available in the literature; achieving a balance among the imperceptibility, robustness and payload is always substantial. For this, a blind DAW based on Slantlet Transform (ST) is proposed in this paper. Pre-processed watermark is embedded in transformed audio coefficients. The proposed (ST DAW) method is evaluated on four classes of audio signals viz., pop, rock, jazz and folk country. Experimentation is carried out to validate its performance in terms of imperceptibility, robustness and payload. Comparative analysis of the ST DAW method with state-of-art methods proves its superiority.
Index Terms: Audio Watermarking, Gaussian Chaotic Map, Payload, Quantization Index Modulation, Slantlet Transform.
Scope of the Article: IoT Applied for Digital Contents