A robust digital audio watermarking scheme based on DWT and Schur decomposition

2019 ◽  
Vol 78 (13) ◽  
pp. 18395-18418 ◽  
Author(s):  
Huda Karajeh ◽  
Tahani Khatib ◽  
Lama Rajab ◽  
Mahmoud Maqableh
Keyword(s):  
Audio Watermarking ◽  
Digital Audio ◽  
Schur Decomposition ◽  
Digital Audio Watermarking ◽  
Watermarking Scheme

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.

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

scholarly journals Efficiently Synchronized Spread-Spectrum Audio Watermarking with Improved Psychoacoustic Model

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Xing He ◽  
Michael S. Scordilis
Keyword(s):  
Spread Spectrum ◽  
Wavelet Packet ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Discrete Wavelet Packet Transform ◽  
Time Frequency ◽  
Psychoacoustic Model ◽  
Temporal Masking ◽  
Watermarking Scheme

This paper presents an audio watermarking scheme which is based on an efficiently synchronized spread-spectrum technique and a new psychoacoustic model computed using the discrete wavelet packet transform. The psychoacoustic model takes advantage of the multiresolution analysis of a wavelet transform, which closely approximates the standard critical band partition. The goal of this model is to include an accurate time-frequency analysis and to calculate both the frequency and temporal masking thresholds directly in the wavelet domain. Experimental results show that this watermarking scheme can successfully embed watermarks into digital audio without introducing audible distortion. Several common watermark attacks were applied and the results indicate that the method is very robust to those attacks.

scholarly journals A Novel Spread Spectrum Digital Audio Watermarking Technique

2014 ◽  
Vol 2 (1) ◽  
pp. 6-9 ◽  
Author(s):  
Yekta Said Can ◽  
Fatih Alagoz ◽  
Melih Evren Burus
Keyword(s):  
Spread Spectrum ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Digital Audio Watermarking

Three Techniques of Digital Audio Watermarking

2008 ◽  
pp. 104-122 ◽  
Author(s):  
Say Wei Foo
Keyword(s):  
Audio Watermarking ◽  
Extraction Technique ◽  
Blind Watermarking ◽  
Digital Audio ◽  
Original Signal ◽  
Time Frequency ◽  
Digital Audio Watermarking ◽  
Peak Point ◽  
Watermarking Scheme

Based on the requirement of watermark recovery, watermarking techniques may be classified under one of three schemes: non-blind watermarking scheme, blind watermarking schemes with and without synchronization information. For the non-blind watermarking scheme, the original signal is required for extracting the watermark and hence only the owner of the original signal will be able to perform the task. For the blind watermarking schemes, the embedded watermark can be extracted even if the original signal is not readily available. Thus, the owner does not have to keep a copy of the original signal. In this chapter, three audio watermarking techniques are described to illustrate the three different schemes. The time-frequency technique belongs to the non-blind watermarking scheme; the multiple-echo hiding technique and the peak-point extraction technique fall under the blind watermarking schemes with and without synchronization information respectively.

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