By Pranab Kumar Dhar, Tetsuya Shimamura
This booklet introduces audio watermarking equipment for copyright safety, which has drawn large cognizance for securing electronic information from unauthorized copying. The booklet is split into elements. First, an audio watermarking approach in discrete wavelet remodel (DWT) and discrete cosine remodel (DCT) domain names utilizing singular worth decomposition (SVD) and quantization is brought. this system is strong opposed to a variety of assaults and offers sturdy imperceptible watermarked sounds. Then, an audio watermarking technique in speedy Fourier rework (FFT) area utilizing SVD and Cartesian-polar transformation (CPT) is gifted. this technique has excessive imperceptibility and excessive info payload and it offers sturdy robustness opposed to a number of assaults. those concepts permit media vendors to guard copyright and to teach authenticity and possession in their fabric in quite a few purposes.
· positive aspects new equipment of audio watermarking for copyright security and possession protection
· Outlines ideas that offer improved functionality by way of imperceptibility, robustness, and information payload
· contains purposes corresponding to facts authentication, information indexing, broadcast tracking, fingerprinting, etc.
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Extra resources for Advances in Audio Watermarking Based on Singular Value Decomposition
The major limitation of the existing SVD-based audio watermarking techniques is the difficulty in obtaining a favorable trade-off between the data payload and robustness against various attacks while maintaining the perceptual quality of the watermarked audio signal at an acceptable level. To overcome this limitation, we propose an audio watermarking method in the DWT and DCT domains using SVD and quantization, which provides better performance than the existing methods in terms of imperceptibility, robustness, and data payload.
K. Dhar, T. 1007/978-3-319-14800-7_3 17 18 3 DWT-DCT-Based Audio Watermarking Using SVD method is highly robust against various attacks such as noise addition, cropping, resampling, requantization, and MP3 compression. Moreover, it outperforms stateof-the-art watermarking methods [8, 17, 27–29, 33, 54, 57, 62, 65, 66] in terms of imperceptibility, robustness, and data payload. The SNR values of the proposed method range from 38 to 41 dB, in contrast to the above state-of-the-art methods whose SNR values range from only 12 to 28 dB.
In addition, the proposed method outperforms state-of-the-art audio watermarking methods in terms of imperceptibility, robustness, and data payload. 1 Introduction In this chapter, we present a FFT-based audio watermarking method using SVD and CPT [22, 24]. In our proposed method, watermark information is pre-processed first using a Gaussian map in order to improve the robustness and enhance the confidentiality. Then, the original audio is segmented into nonoverlapping frames. FFT is applied to each frame and low frequency FFT coefficients are selected.
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