INTERPOLATION BASED ROBUST AUDIO WATERMARKING USING DWT AND SVD TRANSFORMATION
Author(s):
Nidhi Sharma, Sachin Sharma, Vijay Sharma
Keywords:
Digital Audio Watermarking, Singular value decomposition, Discrete Wavelet Transform, Copyright protection
Abstract
Digital Watermarking is a process to hide digital watermark (copyright information) in digital content with a purpose to enable copyright protection and illegal distribution. Digital audio watermarking deals with embedding digital data in an imperceptible manner in the host audio signal. Audio watermarking involves much more complex techniques to embed a watermark in view of the superiority of Human Auditory System (HAS) over Human Visual System (HVS). Transform domain watermarking embeds the watermark in the frequency domain, thereby providing a much more robust and invisible watermarking scheme as compared to temporal domain, which is comparatively fragile. It turns out that digital watermark embedding in audio signals in any domain results in audible disturbances in the original audio signal. Thus, frequency domain watermarking has to be augmented with suitable techniques so as to implement robust and imperceptible watermarking which is the requirement in most of the applications. The Proposed watermarking algorithm embeds a watermark in the Singular values of the S matrix obtained after the decomposition of the original audio signal using SVD Transformation. Also, the watermark is embedding in the real values of the S matrix using an agreed upon policy for interpolation of the values, and the interpolation key has to be known to both the parties for watermark detection and extraction. It is for this reason that the proposed algorithm is able to achieve a high PSNR metric as compared to the other algorithms that use DWT and SVD based watermarking approaches. Peak Signal to Noise Ratio (PSNR) is evaluated as a function of embedding capacity and robustness. The proposed method provides an optimized way to embed a watermark using interpolation based on SVD technique. MATLAB is used to simulate the technique and results are derived. MSE, PSNR are used as a quality metric for evaluation of the results.
Article Details
Unique Paper ID: 144248

Publication Volume & Issue: Volume 3, Issue 9

Page(s): 62 - 72
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