Wavelet Transform for Denoising Audio Watermarking
W. Barkouti1, A. Chabchoub2, S. Alahmadi3, A. Cherif4
1Wahid Barkouti, Asst. Prof., in the Electronic Engineering Department, College of Technology, Meadinah, KSA.
2Abdelkader Chabchoub, Asst. Prof., in the Electronic Engineering Department, College of Technology, Meadinah, KSA.
3Salah Alahmadi, Asst. Prof., Faculty of Engineering – Electrical Engineering Department, Islamic University in Madinah, KSA.
4Adnen Cherif, Professor, Faculty of Science Tunis FST – Electrical Engineering Department, School of Communications, University of Tunis El Manar Tunisia.
Manuscript received on June 09, 2015. | Revised Manuscript received on June 11, 2015. | Manuscript published on June 25, 2015. | PP:1-4 | Volume-3 Issue-8, June 2015. | Retrieval Number: H0993063815
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© The Authors. Published By: 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: Audio Watermarking is the process of embedding information into a signal in a way that is difficult to remove. If the signal is copied, then the information is also carried in the copy. Audio Watermarking has become increasingly important to enable copyright protection and ownership verification. This paper investigates the use of wavelet transform for denoising audio signals contaminated with noises.
Keywords: Wavelet transform, watermarking, attacks, de-noising.