Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36775
Title: Hybrid Blind Audio Watermarking Approach Based On DWT-SVD For Copyrights Protection
Authors: Euschi saleh
Benhammia, Mohammed Mohcene
Zeghabi, Oussama
Keywords: Audio watermarking
watermarking domains
DWT
SVD
Issue Date: 2024
Publisher: KASDI MERBAH UNIVERSITY OUARGLA
Citation: FACULTY OF N EW I NFORMATION AND C OMMUNICATION T ECHNOLOGIES
Abstract: Nowadays where the digital world is getting bigger, the distribution and sharing of audio content have become incredibly easy, leading to increased concerns over unauthorized copying and distribution. Protecting copyrights in the realm of audio has thus become a crucial issue. Here comes Audio watermarking as a solution to this problem, offering a method to embed information directly into audio files in a way that is imperceptible to human listeners but detectable by machines. The problem is Achieving a method robust enough to withstand common audio attacks and capable of embedding a sufficient amount of data without compromising the audio quality and imperceptibility is really hard and challenging. that's why in this project we used a hybrid watermarking approach that combines Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) to enhance the robustness and imperceptibility of the watermark. By decomposing the audio signal with DWT which can let us work in both domains time domain and frequency domain, and then embedding the watermark using SVD, we ensure minimal impact on audio quality while making the watermark resistant to common audio attacks and offer enough capacity. this method is directed to the field of copyrights protection. and we have measured all these factors using common methods like Signal-to-Noise Ratio (SNR) for imperceptibility and Bit Error Rate (BER) for robustness.
URI: https://dspace.univ-ouargla.dz/jspui/handle/123456789/36775
Appears in Collections:Département d'informatique et technologie de l'information - Master

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