摘要
提出了一种基于听觉掩蔽效应和小波变换相结合的音频数字水印算法。根据人耳听觉系统的掩蔽效应,计算载体音频信号的掩蔽阈值,利用小波变换将掩蔽门限映射到小波系数中,然后将水印信号嵌入到中低频子波系数中,嵌入强度由掩蔽阈值自适应控制。实验结果表明:该算法隐藏水印具有很强的掩蔽性;叠加了水印的音频信号对数据压缩、加噪、重采样、低通滤波等常用音频信号处理技术具有很好的鲁棒性。
Watermark embedding algorithm based on critical band wavelet transform of digital audio signal is proposed in this paper. The masking threshold for each audio signal segment was calculated on the basic of psychoacoustic model.According to the similarity between critical band of human auditory system and critical band wavelt transform,a watermark was embedded into the low-band and mid-band coefficients of digital wavelet.The embedding strength was adaptively controlled by the masking threshold. The experiment results show that the embedded watermark signal is inaudible, and the watermarked audio signal has good robustness against many attacks such as compression, noise, re-sampling,low-pass filtering.
出处
《微电子学与计算机》
CSCD
北大核心
2005年第3期185-188,194,共5页
Microelectronics & Computer
基金
江苏省重点实验室项目资助
关键词
数字水印
版权保护
掩蔽效应
小波变换
Digital watermarking, Copyright protection, Masking properties, Wavelet transform
