【摘要】 为了研究音频数字水印的不可感知性和鲁棒性,将粒子群优化算法引入到扩展变换抖动调制算法中.通过扩展变换抖动调制算法实现音频数字水印的嵌入与盲提取.对载体音频进行三级离散小波变换,再对低频分量进行离散余弦变换,在混合域进行水印嵌入,并根据嵌入信息量自适应选择嵌入位置.通过粒子群优化算法对扩展变换抖动调制算法的量化步长和投影元素数进行最优选择.以SNR和NC的组合构建适应度函数,权衡不可感知性和鲁棒性之间的矛盾.实验结果表明算法有很好不可感知性,总体来看有良好的鲁棒性.更多还原

【Abstract】 In order to study the audio digital watermark robustness and perceptuality,the particle swarms optimization algorithm is introduced into the spread-transform dither modulation algorithm. Through spread-transform dither modulation algorithm achieve audio digital watermark can be embedded and blind extracted. Three levels of discrete wavelet transform were carried out on the carrier audio,and discrete cosine transform on low frequency component,in the hybrid domain watermark embedding,and according to embed information adaptive selection embedding location. By particle swarms optimization algorithm to spread-transform dither modulation algorithm quantization step length and the number of projection elements for the optimal choice. With the combination of the signalnoise ratio and normalized correlation we construct the fitness function,balance the contradiction between the perceptual and robustness. The experimental results show that the algorithm has a good imperceptibility,and robustness.更多还原