BCH Code-Based Robust Audio Watermarking Algorithm in the DWT Domain

Wu, Dongmei; Yang, Shangguo; Wang, Zuochen; Qin, Wen-Hua

doi:10.1109/icicta.2010.394

Cited by 3 publications

(1 citation statement)

References 3 publications

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“…et al, introduced a Haar wavelet based new technique. BCH encoded watermark sequence is hidden in audio signal [18]. This technique provides good robustness and reduces the intensity of watermarking.…”

Section: Background Literarturementioning

confidence: 99%

Performance Evaluation of Digital Audio Watermarking based on Discrete Wavelet Transform for Ownership Protection

Patil¹,

Chitode²

2017

ijeei

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Flexibility of Internet technology gives rise to concern about the protection of digital data. Digital audio watermarking is the art of hiding important data in Digital Audio. This research paper deals with a new methodology which helps to enhance the robustness of Digital Audio Watermarking technique based on Discrete Wavelet Transform (DWT) and singular value decomposition (SVD). In this approach, multiple watermarks (Image -64 X 64 pixels and text) are embedded into the approximate coefficients of Discrete Wavelet Transform of an audio signal. Haar wavelet is used for decomposition while SVD is applied to get the Eigen values of approximate coefficients of audio signal. Experimental work demonstrate that watermarked audio has same perceptual quality as that of original one. The performance of the proposed work is evaluated with the help of objective measures such as Signal to Noise ratio, Peak signal to Noise ratio, Bit error rate, Normalized Cross correlation, etc. Additionally, simulation results on audio signals prove that the capacity of the proposed scheme is considerably better in comparison with the existing watermarking methods. Furthermore, the proposed work is applied for different audio signals such as classical, instrumental, flute, pop & rock to check the robustness against various attacks.

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Section: Background Literarturementioning

confidence: 99%

Performance Evaluation of Digital Audio Watermarking based on Discrete Wavelet Transform for Ownership Protection

Patil¹,

Chitode²

2017

ijeei

View full text Add to dashboard Cite

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An efficient and blind audio watermarking technique in DCT domain

Roy

Sarkar

Chowdhury

et al. 2015

2015 18th International Conference on Computer and Information Technology (ICCIT)

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A blind audio watermarking algorithm in Discrete Cosine Transform domain using the relationship among the consecutive groups of samples is proposed in this work. Here, we divided the DCT represented audio signal into equal-sized non-overlapping segments which in turn divided into four non-overlapping consecutive frames. Here, an informative relation between the frames in a segment is maintained to indicate the successful embedding of a watermark i.e. in case of embedding '1' in a segment, make the value of the 'difference between the first two frames' higher than the value of the 'difference between the last two frames' at a distance of threshold value and we do the opposite if the watermark bit is '0'. Embedding a single watermark bit in multiple segments makes the scheme robust. In this work, the size of frame and the segment entirely depend on the number of watermark bit which helps the proposed scheme to increase the capacity of watermarking. Additionally, in order to maintain security against hackers a secret key permutation is proposed to apply on the watermark message. The experimental result shows that the method provides high robustness against common signal manipulation as well as high capacity without significant perceptual distortion.

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