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

2015 ◽  
Vol 713-715 ◽  
pp. 1675-1681
Author(s):  
Lei Shi ◽  
Bai Long Yang ◽  
Peng Hui Wu
Keyword(s):  
Audio Signal ◽  
Qr Decomposition ◽  
Digital Audio ◽  
Test Results ◽  
Arnold Transform ◽  
Robust Test ◽  
Digital Audio Watermarking ◽  
Dither Modulation ◽  
Dct Coefficients ◽  
Good Transparency

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.

Robustness Against DA/AD Conversion

2008 ◽  
pp. 248-259
Author(s):  
Martin Steinebach
Keyword(s):  
Background Noise ◽  
Audio Signal ◽  
Audio Watermarking ◽  
Quantization Noise ◽  
Room Acoustics ◽  
Digital Audio ◽  
Test Results ◽  
Digital Audio Watermarking ◽  
Important Challenge ◽  
Analogue To Digital

This chapter discusses the robustness of digital audio watermarking algorithms against digital to analogue and analogue to digital conversions. This is an important challenge in many audio watermarking applications. We provide an overview on distortions caused by converting the signal in various scenarios. This includes environmental influences like background noise or room acoustics when taking microphone recordings as well as sound sampling effects like quantization noise. The aim is to show the complexity of influences that needto be taken into account. Additionally, we show test results of our own audio watermarking algorithm with respect to analogue recordings using a microphone which proves that a high robustness in this area can be achieved. To improve even the robustness of algorithms, we briefly introduce strategies against downmixing and playback speed changes of the audio signal.

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.

scholarly journals Development of Algorithm for Audio Watermarking Embedding and Decoding using Patchwork Method under Attacks

2020 ◽  
Vol 9 (3) ◽  
pp. 3289-3294
Keyword(s):  
Signal Processing ◽  
Audio Signal ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Discrete Cosine Transforms ◽  
Digital Multimedia ◽  
Digital Audio Watermarking ◽  
Secured Data ◽  
Number Of Segments ◽  
Made In

To protect digital multimedia content from unauthorized reproduction, digital audio watermarking played crucial role. Audio watermarking for the patchwork method has a relatively good level of perception quality.The challengesbetween security, robustness, and imperceptibility is contemporary area of researchand remains relevant issues. This paper introduces discrete cosine transforms (DCT)-based audio watermarking process using the patchwork method for conventional and advanced signal processing attacks. In the first stage of the watermarking audio signal is divided into an equal number of segments and its sub-segments, and then its coefficients are computed. After eliminating high-frequency related coefficients, remaining coefficients are used to form frame pairs of equal length. Watermarks are embedded in a frame using specific criteria and secured data key.The adjustments are made in such a way that the identification ofWatermarked pairs of DCT frames is done in the decoding process by applying the selection criteria used during the embedding process. From watermarked frames, watermark data is extracted by using a secure data key. The proposed audio watermarking algorithm is implemented and tested under conventional and advance signal processing attacks for robustness, imperceptibility, security, and data payload.

Watermarking Scheme with CS Encryption for Security and Piracy of Digital Audio Signals

2017 ◽  
Vol 8 (4) ◽  
pp. 38-60 ◽  
Author(s):  
Rohit Thanki ◽  
Komal Borisagar
Keyword(s):  
Compressive Sensing ◽  
Audio Signal ◽  
Curvelet Transform ◽  
Digital Audio ◽  
Watermark Image ◽  
Audio Signals ◽  
Speech Watermarking ◽  
Dct Coefficients ◽  
Watermarking Scheme ◽  
Better Than

In this article, a watermarking scheme using Curvelet Transform with a combination of compressive sensing (CS) theory is proposed for the protection of a digital audio signal. The curvelet coefficients of the host audio signal are modified according to compressive sensing (CS) measurements of the watermarked data. The CS measurements of watermark data is generated using CS theory processes and sparse coefficients (wavelet coefficients of DCT coefficients). The proposed scheme can be employed for both audio and speech watermarking. The gray scale watermark image is inserted into the host digital audio signal when the proposed scheme is used for audio watermarking. The speech signal is inserted into the host digital audio signal when the proposed scheme is employed for speech watermarking. The experimental results show that proposed scheme performs better than the existing watermarking schemes in terms of perceptual transparency.

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