Abstract | ||
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Digital watermarking has been widely used for protecting digital contents from unauthorized duplication. This paper proposes a new watermarking scheme based on spectral modeling synthesis (SMS) for copyright protection of digital contents. SMS defines a sound as a combination of deterministic events plus a stochastic component that makes it possible for a synthesized sound to attain all of the perceptual characteristics of the original sound. In our proposed scheme, watermarks are embedded into the highest prominent peak of the magnitude spectrum of each non-overlapping frame in peak trajectories. Simulation results indicate that the proposed watermarking scheme is highly robust against various kinds of attacks such as noise addition, cropping, re-sampling, requantization, and MP3 compression and achieves similarity values ranging from 17 to 22. In addition, our proposed scheme achieves signal-to-noise ratio (SNR) values ranging from 29 dB to 30 dB. |
Year | DOI | Venue |
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2010 | 10.1007/978-3-642-17610-4_13 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Digital watermarking,copyright protection,spectral modeling synthesis,digital contents | Phase spectrum,Digital watermarking,Computer science,Speech recognition,Watermark,Ranging,Spectral modeling synthesis,Stochastic modelling | Conference |
Volume | ISSN | Citations |
122 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
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Pranab Kumar Dhar | 1 | 14 | 5.71 |
Cheol Hong Kim | 2 | 73 | 24.39 |
Jong-Myon Kim | 3 | 91 | 25.99 |