Name
Abstract | ||
|---|---|---|
In this paper, a new blind Singular Value Decomposition (SVD) and quantization based audio watermarking scheme is proposed. The watermark information is meaningful binary image permuted by the Piecewise Affine Markov Map (PWAM) before inserted into the host audio signal. The blockbased method is applied by the modification of the largest singular values after the SVD transform. The watermark can be extracted without the original signal. Besides, the audio watermarking scheme is adaptive as the quantization step and block length can be changed adaptively without downgrading the signal. The experimental results demonstrate that the proposed scheme is very robust to filtering, extra noise, resampling, requantization, filtering, and MP3 compression attacks. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15702-8_58 | PCM |
Keywords | Field | DocType |
PROTECTING RIGHTFUL OWNERSHIP,MULTIMEDIA | Affine transformation,Audio signal,Singular value decomposition,Digital watermarking,Pattern recognition,Computer science,Binary image,Filter (signal processing),Watermark,Artificial intelligence,Quantization (signal processing) | Conference |
Volume | Issue | ISSN |
6297 | PART 1 | 0302-9743 |
ISBN | Citations | PageRank |
3-642-15701-7 | 0 | 0.34 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Y. Lei | 1 | 0 | 0.68 |
| Kwok-Tung Lo | 2 | 662 | 66.15 |
| Haijun Lei | 3 | 107 | 15.30 |