A heuristic algorithmic approach to challenging robustness of digital audio watermarking using discrete wavelet transform

2016 ◽  
Author(s):  
Arashdeep Kaur ◽  
Malay Kishore Dutta ◽  
Radim Burget ◽  
Kamil Riha
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Algorithmic Approach ◽  
Digital Audio Watermarking

scholarly journals Pengaruh Kapasitas Dimensi Citra Watermark terhadap Audio Watermarking dengan Perpaduan Metode DWT (Discrete Wavelet Transform) dan SVD ( Singular Value Decomposition)

2019 ◽  
Vol 6 (2) ◽  
pp. 141
Author(s):  
Togu Novriansyah Turnip ◽  
Jenny Doloksaribu ◽  
Vedtra Purba ◽  
Immanuel Saragih
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Audio Signal ◽  
Singular Value ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Copyright Information ◽  
Value Decomposition

<p class="Abstrak">Digital audio <em>watermarking</em> dibutuhkan untuk memberi perlindungan dari pembajakan musik secara ilegal dan pemberian hak cipta/kepemilikan. Penelitian ini menjelaskan perpaduan metode audio <em>watermarking</em> dimana informasi berupa hak cipta disisipkan ke dalam sinyal audio. Perpaduan dari metode DWT (<em>Discrete Wavelet Transfrom</em>) dan SVD (<em>Singular Value Decomposition</em>) digunakan untuk menyisipkan dan mengekstrak <em>watermark</em> dari sinyal audio. Informasi atau watermark tersebut dapat berupa gambar hitam putih (<em>biner</em>) atau huruf-huruf karakter ASCII. Pada penelitian ini sebuah gambar dijadikan sebagai <em>watermark</em> dengan berbagai variasi ukuran piksel seperti 10×10, 30×30, 40×40 dan 50×50 piksel. Hasil dari penyisipan <em>watermark</em> yang berukuran 30×30 piksel menghasilkan <em>imperceptibility</em> yang baik dengan nilai rata-rata diantara 43 sampai dengan 50 dB. Hasil eksperimen yang telah dilakukan juga menunjukkan bahwa kombinasi dari kedua metode tahan (<em>robustness</em>) terhadap beberapa serangan seperti <em>amplify</em>, <em>resampling</em> dan <em>invert</em>.</p><p class="Abstrak"><strong><em>Abstract</em></strong></p><p class="Judul2"><em>Digital audio watermarking is needed as a protection against online music piracy and </em><em>copyright issues</em><em>. This paper describes an audio watermarking</em><em> combination</em><em> method where </em><em>the </em><em>copyright information is imperceptibly added into the audio signal. The combination of discrete wavelet transform (DWT) and singular value decomposition (SVD) is used to embed and e</em><em>x</em><em>tract the watermark from the audio signal. The copyright information or watermark could be a binary logo or some unique binary pattern</em><em>s</em><em>. In this paper, a watermarked image </em><em>is </em><em>divided into four different capacities of dimension such as 10×10, 30×30</em><em>, </em><em>40×40 and 50×50 pi</em><em>x</em><em>el</em><em>s</em><em>.</em><em> </em><em>The result</em><em>s</em><em> of the watermarked image </em><em>are</em><em> imperceptibly added into the audio signal</em><em> and image with</em><em> 30×30 pixel </em><em>dimension </em><em>ha</em><em>s</em><em> the best mean result ranged from 43 to 50 dB</em><em>.</em><em> The experiment result also show</em><em>s</em><em> that the combination of DWT and SVD is robust against different attacks such as amplify, resampling and invert.</em></p><p class="Judul2"> </p>

Digital Audio Watermarking Scheme Based on Independent Component Analysis in DWT Domain

2011 ◽  
Vol 219-220 ◽  
pp. 1121-1125 ◽  
Author(s):  
Rui Chen ◽  
Yu Lin Lan ◽  
Reza Asharif Mohammad
Keyword(s):  
Independent Component Analysis ◽  
Low Frequency ◽  
Component Analysis ◽  
Extraction Process ◽  
Independent Component ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Watermarking Scheme

This paper proposed a digital audio watermarking scheme based on independent component analysis (ICA) in DWT domain. The embedding process make full use of the multi-resolution characteristic of discrete wavelet transform (DWT), performing 3-level DWT. Selecting the low frequency coefficient appropriately as the embed location to make sure of the balance between the transparency and robustness. Then constructing the ICA model to embed the watermarking. The extraction process is similar with ICA’s goal, it’s used in extraction makes the scheme simple for implementation. The experiment results show that the proposed scheme has good robustness against common attacks, as well as transparency.

Audio Watermarking Based on Hybrid Low and High Wavelet Frequencies

2016 ◽  
Vol 5 (1) ◽  
pp. 28
Author(s):  
Aree Ali Mohammed
Keyword(s):  
Time Domain ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Digital Audio ◽  
Test Results ◽  
Digital Audio Watermarking ◽  
Over Time

Transform-domain digital audio watermarking has a performance advantage over time-domain watermarking by virtue of the fact that frequency  transforms offer better exploitation of the human auditory system (HAS). In this research paper an adaptive audio watermarking is proposed based on the low and high wavelet frequencies band (LF, HF). The embedded watermark can be of any types of signal (text, audio and image). The insertion of the watermark data is performing in a frequency domain after applying discrete wavelet transformation on the cover audio segments. The normalize correlation and the signal to noise ratio metrics are used to test the performance of the proposed method in terms of the robustness and imperceptibility. Test results show that an improvement of the robustness against some type of attacks when the watermark is adaptively embedded in a different wavelet bands.

Digital Audio Watermarking Scheme Based on Independent Component Analysis in Stereo Sound

2012 ◽  
Vol 459 ◽  
pp. 469-473
Author(s):  
Rui Chen ◽  
Yu Lin Lan ◽  
Mohammad Reza Asharif
Keyword(s):  
Independent Component Analysis ◽  
Low Frequency ◽  
Component Analysis ◽  
Extraction Process ◽  
Independent Component ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Watermarking Scheme

This paper proposed a digital audio watermarking scheme based on independent component analysis (ICA) in stereo sound. In order to make full use of the multi-channel characteristic of stereo sound, The watermarking embedded into the two channel, half respectively. Also using the multi-resolution characteristic of discrete wavelet transform, performing 3-level DWT in each channel. Selecting the low frequency coefficient appropriately as the embed location to make sure of the balance between the transparency and robustness. The extraction process is similar with ICA’ s goal, it’s used in extraction makes the scheme simple for implementation. The experiment results show that the proposed scheme has good robustness against common attacks, as well as transparency

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