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 block-based 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.
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||11th Pacific Rim Conference on Multimedia, PCM 2010|
|Period||21/09/10 → 24/09/10|
- Audio watermarking
- Theoretical Computer Science
- Computer Science(all)