Abstract | ||
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A kind of digital audio watermarking algorithm based on discrete wavelet transform (DWT) is proposed in the paper. In the paper, we adopt remote sensing image as watermarking image (such as satellite image). In order to enhance the remote sensing image into the audio, watermarking information is dealt with error diffusion method which is one kind of half-toning technique. Using chaos sequence for synchronization code and embedded it into audio with the water-marking, the watermarking thus has the ability of selfsynchronization. The algorithm quantizes the lowestfrequency coefficients of DWT of the audio signals, so that the watermarking can be detected in a blinding way. The experimental results indicate the algorithm is robust to Gauss-yawp, loss compression and more than 12 attacking means by stirmarkaudio attacking software. |
Year | DOI | Venue |
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2006 | 10.1109/IIH-MSP.2006.86 | IIH-MSP |
Keywords | Field | DocType |
stirmarkaudio attacking software,chaos sequence,digital audio watermarking algorithm,watermarking information,satellite image,watermarking image,quantizing coefficients,discrete wavelet,audio signal,error diffusion method,robustness,gaussian processes,watermarking,discrete wavelet transform,signal processing,remote sensing | Signal processing,Audio signal,Digital signal processing,Digital watermarking,Computer science,Image processing,Robustness (computer science),Theoretical computer science,Artificial intelligence,Discrete wavelet transform,Computer vision,Algorithm,Digital image processing | Conference |
ISBN | Citations | PageRank |
0-7695-2745-0 | 1 | 0.40 |
References | Authors | |
6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhao Xu | 1 | 7 | 1.33 |
Wang Ke | 2 | 6 | 1.65 |
Xiaohua Qiao | 3 | 7 | 2.00 |