摘要
基于水印能量对提高水印鲁棒性的重要作用,提出了音频水印载体可以嵌入最大水印能量的估计方法。该方法利用了听觉掩蔽特性及MPEG-2听觉模型,计算音频载体在变换域下每帧数据可以嵌入的水印能量,进而估计整体水印能量,并将能量估计方法应用在自适应水印嵌入算法的模型构造上。实验结果验证了水印鲁棒性随嵌入能量的增加而提高;所提出的自适应水印嵌入模型,能根据音频载体自身的特点动态调整水印嵌入强度,在保证听觉质量的同时,提高了水印嵌入量。克服了通过重复实验判断水印嵌入能量方法的复杂性,以及在嵌入相同能量情况下,采用固定水印嵌入强度系数导致的噪声过大等缺点。
A method of estimating the maximum of the audio watermarking is presented since watermarking power is important role to improve the watermarking robustness. Using the auditory masking property and MPEG-2 auditory model, the method calculates the watermarking power in per-frame, and estimates the whole maximum watermarking power. It is also used to construct adaptive embedded watermarking models. The experiments show that the more power embedded in the watermarking the faster the rate of the change of watermarking robustness. According to the self-change characteristic of the audio signal, this adaptive embedded watermarking model can adjust the embedded intensity dynamically and improve the whole watermarking power without losing auditory quality, This method not only makes it easier to estimate watermarking power through experiments, but also reduces noise caused by fixed embedded coefficients, even with the same embedded watermarking power.
出处
《声学学报》
EI
CSCD
北大核心
2006年第1期48-54,共7页
Acta Acustica
基金
国家自然科学基金(60173044)
教育部跨世纪优秀人才培养计划基金资助项目
