摘要
提出一种新颖的音频水印算法.该算法对传统扩频水印算法进行改进,在检测端加入 LPC 白化技术,实现水印的盲检测.并且利用心理声学模型,通过频域整形、中频选取和时域整形等一系列技术,实现与原非盲扩频水印技术相当的鲁棒性和不可感知性.与同类的盲水印技术相比较,本算法大大提高水印的嵌入容量.
In this paper, a blind audio watermarking scheme based on spread- spectrum technology is proposed . The blind detection is implemented using linear prediction coding as a whitening procedure. By a series of techniques, including sophisticated sub-band selection and PN shaping, the robustness and the imperceptibility of proposed algorithm are comparable to those of the nonblind algorithms which are demonstrated in the experiments. Also, the watermark capacity of proposed algorithm is larger than that of other blind ones.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2007年第1期119-123,共5页
Pattern Recognition and Artificial Intelligence
关键词
水印
检测率
扩频
线性预测
音频编码
Watermarking, Detection Rate, Spread Spectrum, Linear Prediction, Audio Coding
