摘要
提出了一种新的均值量化的语音信息隐藏技术.采用对量化区间进行分段调整的方法来减少对载体语音DWT系数的修改量,提高信息隐藏的不可感知性;采用对落在抗攻击能力弱的边界区域的均值进行调整的方法来提高信息隐藏的抗攻击能力.实验结果表明,该算法在信噪比(signal noise ratio,SNR)和归一化相关系数(normalized cross-correlation,NC)等性能指标上较当前的均值量化算法有一定的提高.
We presented a new blind digital audio information hiding algorithms based on DWT and mean quantization. In order to achieve the high impercept ibility,the modification of wavelet coefficients was reduced by piecewise adjustment the quantized area. The ability of resisting attack was also improved by adjustment the boundary value with poor resistance to attack. Experimental results demonstrate that the proposed method has a better Signal Noise Ratio （SNR） than the current mean quantization algorithm, and the Normalized Cross-Correlation （NO has also a certain amount of improvement.
出处
《信息安全研究》
2016年第10期909-912,共4页
Journal of Information Security Research
关键词
信息隐藏
隐蔽通信
均值量化
DWT
信噪比
归一化相关系数
information h id in g
covert communication
mean quantization
DWT
signal noise ratio （SNR）
normalized cross-correlation （NC）
