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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ROBUST AUDIO WATERMARKING USING DWT AND SVD BASED ON PARTICLE SWARM OPTIMIZATION
Authors
Geeta Gupta,Vinod Todwal
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Keywords
Digital Audio Watermarking, Singular Value Decomposition, Discrete Wavelet Transform, PAFM, PSO, Copyright protection, Robustness
Abstract
Digital Watermarking refers to hiding digital copyright information in digital content with a purpose to enable copyright protection and preventing 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 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 is non-blind and embeds watermark in the SVD Transformation of the High Frequency band obtained after the DWT transformation of the Audio Samples. The original audio samples are subjected to the DWT transformation and subsequent SVD Transformation of highest order coefficients. Also, the watermark is embedded in the singular values of S matrix using Particle Swarm Optimization Technique for watermark detection and extraction. The watermark embedding is done in conjunction with PSO to achieve PAFM and correspondingly, low imperceptibility. 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 over audio samples. The proposed method provides an optimized way to embed a watermark using PSO based DWT and 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
IJCRT's Publication Details
Unique Identification Number - IJCRT1812006
Paper ID - 184961
Author type - Indian Author
Page Number(s) - 63-77
Pubished in - Volume 6 | Issue 2 | April 2018
DOI (Digital Object Identifier) -
No Of Downloads - 1136
Author Country - 302026, India, Jaipur, Jaipur, India, Science & Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT1812006
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Geeta Gupta,Vinod Todwal, "ROBUST AUDIO WATERMARKING USING DWT AND SVD BASED ON PARTICLE SWARM OPTIMIZATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.63-77, April 2018, Available at :http://www.ijcrt.org/papers/IJCRT1812006.pdf
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