Title page for ETD etd-10182010-105045

Type of Document Master's Thesis
Author Ravula, Rajkiran
Author's Email Address rravul1@tigers.lsu.edu,rajkiranravula@gmail.com
URN etd-10182010-105045
Title Audio Watermarking Using Transformation Techniques
Degree Master of Science in Electrical Engineering (M.S.E.E.)
Department Electrical & Computer Engineering
Advisory Committee
Advisor Name Title
Rai, Suresh Committee Chair
Vaidyanathan, Ramachandran Committee Member
Wu, Hsiao-Chun Committee Member
  • wavelet
  • dwt
  • quantization
  • audio
  • watermarking
  • audio watermarking
Date of Defense 2010-10-12
Availability unrestricted
Watermarking is a technique, which is used in protecting digital information like images,

videos and audio as it provides copyrights and ownership. Audio watermarking is more

challenging than image watermarking due to the dynamic supremacy of hearing capacity over

the visual field. This thesis attempts to solve the quantization based audio watermarking

technique based on both the Discrete Cosine Transform (DCT) and Discrete Wavelet Transform

(DWT). The underlying system involves the statistical characteristics of the signal. This study considers different wavelet filters and quantization techniques. A comparison is performed on diverge algorithms and audio signals to help examine the performance of the proposed method. The embedded watermark is a binary image and different encryption techniques such as Arnold Transform and Linear Feedback Shift Register (LFSR) are considered. The watermark is distributed uniformly in the areas of low frequencies i.e., high energy, which increases the robustness of the watermark. Further, spreading of watermark throughout the audio signal makes the technique robust against desynchronized attacks. Experimental results show that the signals generated by the proposed algorithm are inaudible and robust against signal processing techniques such as quantization, compression and resampling. We use Matlab (version 2009b) to implement the algorithms discussed in this thesis. Audio transformation techniques for compression in Linux (Ubuntu 9.10) are applied on the signal to simulate the attacks such as re-sampling, re-quantization, and mp3 compression; whereas, Matlab program for de-synchronized attacks like jittering and cropping.

We envision that the proposed algorithm may work as a tool for securing intellectual properties of the musicians and audio distribution companies because of its high robustness and imperceptibility.

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