An Audio Watermark Embedding Algorithm Based on Mean-Quantization in Wavelet Domain

Author(s):  
Wang Lanxun ◽  
Yin Chao ◽  
Pang Jiao
2012 ◽  
Vol 6-7 ◽  
pp. 525-529
Author(s):  
Guang Xue Chen ◽  
Bao Lin Tang ◽  
Qi Feng Chen ◽  
Jing Lei Tai

In this paper, the key research was focused on the algorithm based on wavelet domain after analyzing and comparing several watermark algorithms. Disperse Wave Transform(DWT) watermark and Disperse Cosine Transform(DCT) watermark are both belong to transform domain technology, and they have more robustness than spatial-temporal domain technology, and DWT is superior to DCT. DWT can use the spatial-frequency characteristics of Human Visual System, and Mosaic will not appear in reconstruct image. DWT also can use image fusion technology to disperse watermark into multiple scales of carrier data, and got more robustness. In this paper, watermark embedding based on wavelet domain in which raster data are carrier was performed, then extracting and detecting watermark were done. Experiment results show that digital watermark based on wavelet domain will get better invisibility and robustness, and can be used in following the data by digital fingerprint.


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