With the recent burgeoning of networked multimedia systems, techniques are needed to prevent illegal copying / forgery in distributed digital audio/ visual/text document. It may be also desirable to determine where and by how much the multimedia file has been changed from the original due to attacks. This is attributed to increasing instances of hacking during digital communication. Digital watermarking has been proposed as a solution to the above problem to protect multimedia document. There are two important issues that watermarking algorithms need to address. Firstly, watermarking schemes are required to provide trustworthy evidence for protecting rightful ownership.
[...] As shown in fig X U S V Fig.2: Singular Value Decomposition 2 Security in image transmission using audio watermarking A digital image X of size M X with M is considered as a 2-D Matrix. SVD of X is defined as X = USVH N image watermarking scheme that is resistant to a variety of attacks. The proposed scheme is given by the following algorithm. = σi ui viH The proposed audio watermarking scheme The above amalgamation of DCT and SVD results a new hybrid blind watermarking scheme. [...]
[...] Sun, application of wavelet analysis and audio compression technology in digital audio watermarking,” in Proceedings of the IEEE International Conference on Neural Networks and Signal After Compressing at -24DB Threshold. Extracted watermark Hiwm.bmp 5 Security in image transmission using audio watermarking Processing, Vol pp. 1533-1537. S. K. Lee and Y. S. Ho, “Digital audio watermarking in the cepstrum domain,” IEEE Transactions on Consumer Electronics, Vol pp. 744-750. X. Li and H. H. Yu, “Transparent and robust audio data hiding in cepstrum domain,” in Proceedings of the IEEE International Conference on Multimedia and [...]
[...] it is 1 Security in image transmission using audio watermarking difficult to differentiate between an audio signal with watermark and its unmarked version. Robustness refers to ability to resist distortion. This is taken care by the invariant properties of the transform. Capacity refers to percentage of watermark signal which may be embedded in original signal without noticeable distortion in the quality. However these characteristics are often mutually contradictory, so compromises must be made while applying them. Most of the existing watermarking algorithms are applicable to images or video signals. [...]
[...] Further, testing the robustness of our scheme against wide range of attacks like jittering addition of echoes time-scale wrapping MPEG coding/decoding low pass filtering is underway. After Embedding watermark After Amplifying References P. Bassia, I. Pitas, and N. Nikolaidis, “Robust audio watermarking in the time domain,” IEEE Transactions on Multimedia, Vol pp. 232-241. Extracted watermark Hiwm.bmp A. N. Lemma, J. Aprea, W. Oomen, and L. van de Kerkhof, temporal domain audio watermarking technique,” IEEE Transactions on Signal Processing, Vol pp. 1088-1097. I. K. Yeo and H. J. Kim, “Modified patchwork algorithm: a novel audio watermarking scheme,” IEEE Transactions on Speech and Audio Processing, Vol pp. [...]
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