Digital Audio Watermarking Algorithm Research Articles

Copyright Protection of Music Multimedia Works Fused With Digital Audio Watermarking Algorithm

Copyright law is important in the media sector since an original creative work owner has the exclusive right to consent, publish, broadcast, and even translate or modify their work. A growing number of digital copyright issues can be found behind the widespread use of multimedia technologies. Improvements must be made right away to the copyright infringement prevention approach using digital watermarking. Zero-watermarking has lately gained popularity as one of the alternatives being considered. A novel sparse representation persistent-based digital audio watermarking algorithm (SRP-DAWA) has been presented to increase zero resilience. Using the improved singular value decomposition (iSVD) technique, an optimum over-complete dictionary can be generated from the background audio signal in the suggested method. Using the orthogonal matching pursuit (OMP) method, the sparse coefficient of a fragmented sample data is calculated, and the corresponding sparse matrix is generated.

An Audio Mask Algorithm Based on Cepstrum Tansform and Wavelet Tansform

In order to better improve audio watermark robustness and perceptual, the paper puts forward a kind of based on cepstrum transform and the wavelet transform of digital audio watermarking algorithm The algorithm will be audio signal wavelet decomposition, selection of low frequency coefficient of framing and cepstrum transform And according to the statistical mean thought, using the cepstrum domain characteristics of the energy concentration near zero, a pseudo random sequence watermark embedded in cepstrum domain experimental results show that the algorithm not only has good perceptual, but also has better robustness and can withstand attacks of common signal such as low-pass filter resampling quantitative lossy compression and sync to attack.

Digital Audio Watermarking Based on QR Decomposition and Dither-Modulation Quantization

An audio digital watermarking algorithm based on QR decomposition and dither-modulation quantization is proposed. Arnold transform is utilized to scramble watermarking image in order to improve the security of the algorithm. Then chaotic sequence encrypts the watermarking which was folded before. DCT coefficients of the original audio signal are selected to embed the encrypted watermarking after QR decomposition. Dither-modulation quantization changes the largest R component values of the QR decomposition. Imperceptibility, security and robust test results show that the present method is more robust, and possesses good transparency and high security compared with the scheme based on SVD and dither-modulation quantization.

A New Digital Audio Watermarking Algorithm

In this paper a new digital audio watermarking algorithm is proposed based on B-spline approximation. The al- gorithm takes the advantage of non-uniform B-spline wavelet, namely, the number of low-frequency components can be arbitrarily selected, so, it is very flexible. Meanwhile, it avoids the complex calculations of non-uniform B-spline wave- lets. The simulation experiments show that this algorithm guarantees the inaudibility of the watermark, and it is robust against common attacks as well.

An imperceptible and robust audio watermarking algorithm

In this paper, we propose a semi-blind, imperceptible, and robust digital audio watermarking algorithm. The proposed algorithm is based on cascading two well-known transforms: the discrete wavelet transform and the singular value decomposition. The two transforms provide different, but complementary, levels of robustness against watermarking attacks. The uniqueness of the proposed algorithm is twofold: the distributed formation of the wavelet coefficient matrix and the selection of the off-diagonal positions of the singular value matrix for embedding watermark bits. Imperceptibility, robustness, and high data payload of the proposed algorithm are demonstrated using different musical clips.

A dual transform audio watermarking algorithm

In this paper, a non-blind digital audio watermarking algorithm that satisfies the minimum requirements of optimal audio watermarking set by the International Federation of Photographic Industry (I...

A Digital Audio Watermarking Algorithm Resist to Low Bits Rates Compression

A Digital Audio Watermarking Algorithm Resist to Low Bits Rates Compression

A pseudo-Zernike moment based audio watermarking scheme robust against desynchronization attacks

Desynchronization attack is known as one of the most difficult attacks to resist, for it can desynchronize the location of the watermark and hence causes incorrect watermark detection. It is a challenging work to design a robust audio watermarking scheme against desynchronization attacks. Based on pseudo-Zernike moment and synchronization code, we propose a new digital audio watermarking algorithm with good auditory quality and reasonable resistance toward desynchronization attacks in this paper. Firstly, the origin digital audio is segmented and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. And then, map 1D digital audio signal in the second part into 2D form, and calculate its pseudo-Zernike moments. Finally, the watermark bit is embedded into the average value of modulus of the low-order pseudo-Zernike moments. Meanwhile combining the two adjacent synchronization code searching technology, the algorithm can extract the watermark without the help from the origin digital audio signal. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signals processing such as MP3 compression, noise addition, resampling, re-quantization, etc., but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, jittering, etc.

A robust digital audio watermarking scheme using wavelet moment invariance

It is a challenging work to design a robust audio watermarking scheme against various attacks. Wavelet moment invariances are new features combining the moment invariant features and the wavelet features, and they have some excellent characteristics, such as the ability to capture local information, robustness against common signal processing, and the linear relationship between a signal and its wavelet moments etc. Based on wavelet moment and synchronization code, we propose a new digital audio watermarking algorithm with good auditory quality and reasonable resistance against most attacks in this paper. Firstly, the origin digital audio is segmented and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. And then, map 1D digital audio signal in the second part into 2D form, and calculate its wavelet moments. Finally, the watermark bit is embedded into the average value of modulus of the low-order wavelet moments. Meanwhile combining the two adjacent synchronization code searching technology, the algorithm can extract the watermark without the help from the origin digital audio signal. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signals processing such as MP3 compression, noise addition, resampling, and re-quantization etc., but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, and jittering etc.

A robust digital audio watermarking using higher-order statistics

AbstractBased on higher-order statistics and synchronization code, we propose a new digital audio watermarking algorithm with good auditory quality and reasonable resistance toward desynchronization attacks in this paper. Firstly, the wavelet de-noising is performed on the original host audio, the de-noised digital audio is segmented, and then each segment is cut into two parts. Secondly, with the spatial watermarking technique, synchronization code is embedded into the statistics average value of audio samples in the first part. And then, the higher-order statistics are obtained by using the Hausdorff distance. Finally, the digital watermark is embedded into the original audio signal in wavelet domain by using the higher-order statistics. Simulation results show that the proposed watermarking scheme is not only inaudible and robust against common signal processing such as MP3 compression, noise addition, resampling, re-quantization, etc., but also robust against the desynchronization attacks such as random cropping, amplitude variation, pitch shifting, jittering, etc.

A new adaptive digital audio watermarking based on support vector machine

It is a challenging work to design a robust digital audio watermarking scheme against desynchronization attacks. On the basis of support vector machines (SVMs), a new robust digital audio watermarking algorithm against desynchronization attacks is proposed in this paper, and in this the audio statistics characteristics and synchronization code are utilized. Firstly, the optimal embedding positions are located adaptively by using the SVM theory. Secondly, the 16-bit Barker code is chosen as synchronization mark and embedded into the digital audio by modifying the statistics average value of several samples. Finally, the digital watermark are embedded into the statistics average value of low-frequency components in wavelet domain by making full use of auditory masking. Experimental results show that the proposed scheme is inaudible and robust against common signal processing such as MP3 compression, low-pass filtering, noise addition, equalization, etc., and is robust against desynchronization attacks such as random cropping, amplitude variation, pitch shifting, time-scale modification, jittering, etc.

A New Adaptive Digital Audio Watermarking Based on Support Vector Regression

On the basis of support vector regression (SVR), a new adaptive blind digital audio watermarking algorithm is proposed. This algorithm embeds the template information and watermark signal into the original audio by adaptive quantization according to the local audio correlation and human auditory masking. The procedure of watermark extraction is as follows. First, the corresponding features of template and watermark are extracted from the watermarked audio. Then, the corresponding feature of template is selected as training sample to train SVR and an SVR model is returned. Finally, the actual outputs are predicted according to the corresponding feature of watermark, and the digital watermark is recovered from the watermarked audio by using the well-trained SVR. Experimental results show that our audio watermarking scheme is not only inaudible, but also robust against various common signal processing (such as noise adding, resampling, requantization, and MP3 compression), and also has high practicability. In addition, the algorithm can extract the watermark without the help of the original digital audio signal, and the performance of it is better than other SVM audio watermarking schemes.