By Pranab Kumar Dhar, Tetsuya Shimamura
This ebook introduces audio watermarking tools for copyright safeguard, which has drawn broad realization for securing electronic facts from unauthorized copying. The booklet is split into elements. First, an audio watermarking strategy in discrete wavelet remodel (DWT) and discrete cosine remodel (DCT) domain names utilizing singular price decomposition (SVD) and quantization is brought. this technique is powerful opposed to numerous assaults and gives solid imperceptible watermarked sounds. Then, an audio watermarking technique in quickly Fourier remodel (FFT) area utilizing SVD and Cartesian-polar transformation (CPT) is gifted. this system has excessive imperceptibility and excessive facts payload and it presents strong robustness opposed to a variety of assaults. those concepts permit media proprietors to guard copyright and to teach authenticity and possession in their fabric in a number of purposes.
· good points new tools of audio watermarking for copyright safety and possession protection
· Outlines strategies that supply greater functionality when it comes to imperceptibility, robustness, and information payload
· comprises functions reminiscent of info authentication, information indexing, broadcast tracking, fingerprinting, etc.
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Additional info for Advances in Audio Watermarking Based on Singular Value Decomposition
To enhance the security, the proposed method utilizes chaotic encryption. Since the proposed watermark embedding and detection processes depend on the secret keys K1 and K2 , it is impossible to maliciously detect the watermark without these keys.
The extracted watermark images are visually similar to the original watermark image. This clearly shows the good performance of the proposed method against different attacks. 4 summarizes the robustness results of the proposed method for the audio signals ‘Pop’, ‘Jazz’, and ‘Folk’. 96 and the BER values are all below 4 %, indicating the high robustness of our proposed method against different attacks. 3 Error Analysis We analyzed the performance of the proposed method in terms of the false positive error (FPE) and false negative error (FNE).
2227, respectively. The extracted watermark images are visually similar to the original watermark image. This clearly shows the good performance of the proposed method against different attacks. 4 summarizes the robustness results of the proposed method for the audio signals ‘Pop’, ‘Jazz’, and ‘Folk’. 96 and the BER values are all below 4 %, indicating the high robustness of our proposed method against different attacks. 3 Error Analysis We analyzed the performance of the proposed method in terms of the false positive error (FPE) and false negative error (FNE).