Name
Abstract | ||
|---|---|---|
This paper proposes a novel high capacity robust audio watermarking algorithm by using the high frequency band of the wavelet decomposition at which the human auditory system (HAS) is not very sensitive to alteration. The main idea is to divide the high frequency band into frames and, for embedding, to change the wavelet samples depending on the average of relevant frame's samples. The experimental results show that the method has a very high capacity (about 11,000 bps), without significant perceptual distortion (ODG in [驴1 ,0] and SNR about 30dB), and provides robustness against common audio signal processing such as additive noise, filtering, echo and MPEG compression (MP3). |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s11042-010-0495-1 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Audio watermarking,Digital wavelet transform | Digital watermarking,Pattern recognition,Computer science,Frequency band,Filter (signal processing),Second-generation wavelet transform,Artificial intelligence,Audio signal processing,Stationary wavelet transform,Wavelet packet decomposition,Wavelet | Journal |
Volume | Issue | ISSN |
52 | 2-3 | 1380-7501 |
Citations | PageRank | References |
27 | 0.92 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Fallahpour | 1 | 203 | 12.12 |
| David Megías | 2 | 205 | 24.13 |