Securing speech signals by watermarking binary images in the wavelet domain

Digital watermarking is the process of embedding particular information into other signal data in such a way that the quality of the original data is maintained and secured. Watermarking can be performed on images, videos, texts, or audio to protect them from copyright violation. Among all of these...

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Main Authors: Rashid, Rakan Saadallah (Author), Mohammed, Jafar Ramadhan (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2020-05-01.
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LEADER 02379 am a22003013u 4500
001 ijeecs20596_13711
042 |a dc 
100 1 0 |a Rashid, Rakan Saadallah  |e author 
100 1 0 |e contributor 
700 1 0 |a Mohammed, Jafar Ramadhan  |e author 
245 0 0 |a Securing speech signals by watermarking binary images in the wavelet domain 
260 |b Institute of Advanced Engineering and Science,   |c 2020-05-01. 
500 |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20596 
520 |a Digital watermarking is the process of embedding particular information into other signal data in such a way that the quality of the original data is maintained and secured. Watermarking can be performed on images, videos, texts, or audio to protect them from copyright violation. Among all of these types of watermarking, audio watermarking techniques are gaining more interest and becoming more challenging because the quality of such signals is highly affected by the watermarked code. This paper introduces some efficient approaches that have capability to maintain the signals' quality and preserves the important features of the audio signals. Moreover, the proposed digital audio watermarking approaches are performed in the transform domain. These approaches are gaining more attention due to their robustness or resistance to the attackers. These transform domains include discrete cosine transform (DCT), short-term Fourier transform (STFT), and digital wavelet transform (DWT). Furthermore, the most digital wavelet transforms were found to be applicable for speech watermarking are the Haar and the Daubechies-4.  
540 |a Copyright (c) 2020 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc/4.0 
546 |a eng 
690
690 |a Audio signal; Binary image; Watermarking; Wavelet transform 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 18, No 2: May 2020; 1096-1103 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v18.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20596/13711 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/20596/13711  |z Get fulltext