摘要
提出了一种将心理声学模型和小波变换、离散余弦变换相结合的数字音频水印算法,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.为了消除图像水印的像素相关性,首先对水印图像进行置乱,以增强水印信号的安全性.然后将水印信号嵌入到小波变换近似分量的DCT变换域中,嵌入强度由掩蔽阈值自适应控制.仿真实验结果表明:该算法隐藏水印具有很强的不可感知性;叠加了水印的音频信号对数据压缩、加噪、重新采样、重新量化、低通滤波等常用的音频信号处理技术具有很好的鲁棒性.
A new watermark algorithm based on psychoacoustic model,wavelet transform and discrete cosine 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 mode.In order to dispel the pixel space relationship of the binary watermark image,raise the security performance of the whole digital watermark system,watermark scrambling algorithm is used at first. Then a watermark was embedded into the low-band coefficients of digital wavelet. The embedding strength was adaptively controlled by the masking threshold. Simulation results show that the proposed algorithm can achieve high imperceptibility, and the watermarked audio signal has good robustness against many attacks such as compression, noise, re-sampling, low-pass filtering.
出处
《漳州师范学院学报（自然科学版）》
2009年第4期31-35,共5页
Journal of ZhangZhou Teachers College（Natural Science)
基金
福建省自然科学基金(2008F5065)
福建省高校服务海西建设重点项目
漳州师院院内课题(SK07001)
关键词
数字音频水印
掩蔽效应
心理声学模型
掩蔽阈值
digital audio watermark
masking effect
psychoacoustic model
masking threshold
