摘要
音频与图像相比具有信息冗余大、随机性强的特点,在音频中实现无误码的信息提取的难度更大。提出一种基于DCT域QIM(quantization index modulation)的音频信息伪装算法,算法特点如下:应用QIM原理,以量化的方式嵌入信息,根据量化区间与信息比特的映射关系提取信息,可实现盲提取;采用改进的QIM方案,针对信息提取的误码,在嵌入端与提取端进行容错处理,保证了隐藏信息的强顽健性;隐藏容量大,可达357.6bit/s。实验表明,算法与传统QIM方法相比具有更好的不可感知性,100%嵌入的载密音频的信噪比在30dB以上,并且对于MP3压缩、重量化、重采样、低通滤波等攻击具有很强的顽健性,同时算法运算量小,易于实现,实用性强。
Audio signal has more information redundancy than image signal, but its randomicity is stronger. It is more challenge to extract embedded bit with non-error from audio. A novel audio steganography based on QIM （quantization index modulation） in the DCT （discrete cosine transform） domain was proposed. The merits of the algorithm were as fol- lows： based on the principle of QIM, the message was embedded by quantization method and was extracted by the map- ping between message bit and quantization interval. The extraction was executed blindly; the robustness of the hidden message was ensured well by the improved QIM, which employed the error-tolerance operation during embedding and extracting; the capacity was large as 357.6bit/s. The experimental results show that the proposed method achieves better imperceptivity than normal QIM and the SNR （signal to noise ratio） of the stego audio with the embedding rate of 100% is above 30dB. The embedded message has good robustness against MP3 compression, requantization, resampling and lowpass filtering. Moreover, the algorithm is easy to implement and highly practicable.
出处
《通信学报》
EI
CSCD
北大核心
2009年第8期105-111,共7页
Journal on Communications
基金
国家重点基础研究发展计划("973"计划)基金资助项目(2007CB311203)
国家自然科学基金资助项目(60821001
90604022)
高等学校博士学科点专项科研基金资助项目(20070013007)~~
