DWT-FFT Based Audio Watermarking Algorithm for Copyright Protection
Sheetal Shelke1, Mangal Patil2, J. S. Chitode3
1S. V. Shelke, Obtained B.E., Department of Electronics and Telecommunication Engineering, Swami Ramanand Tirth Marathwada University, Nanded (Maharashtra), India.
2M. V. Patil, Obtained B.E., Department of Electronics Engineering from Shivaji University, Kolhapur (Maharashtra), India.
3Dr. J. S. Chitode, B.E., Department of Industrial Electronics Engineering from Bharati Vidyapeeth University, Pune (Maharashtra), India.
Manuscript received on 15 December 2015 | Revised Manuscript received on 25 December 2015 | Manuscript Published on 30 December 2015 | PP: 79-84 | Volume-5 Issue-2, December 2015 | Retrieval Number: B4359125215/15©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: In this proposed method a new technique is introduced to secure audio communication. Discrete Wavelet Transforms (DWT) and Fast Fourier Transform (FFT) are used in this proposed method. Separation of high frequency component and low frequency component from original audio signal is performed by applying DWT. High frequency component is then passed through Fourier Transform (FFT). Digital watermark is generated using PN sequence. The digital watermark is embedded in low amplitude high frequency region of magnitude spectrum of FFT. DWT-FFT based proposed algorithm can be used for Copyright protection of audio signals. Proposed algorithm is evaluated using SNR and NC parameters with various attacks including volume scaling, low pass filter, resampling, requantization, MP3 compression, Echo addition, time stretching and additive noise.
Keywords: Audio Watermarking, Discrete Wavelet Transforms, Fast Fourier Transform
Scope of the Article: Algorithm Engineering