摘要
针对传统最低有效位水印算法鲁棒性差的特点,提出一种改进的新算法。用一维Logistic变换对秘密水印信息进行置乱预处理,使水印信息变成乱码;对公开的载体语音进行离散小波变换;采用一种新颖的LSB嵌入方案,以不同的分辨率将秘密信息嵌入到选定的小波系数中。提取水印信息时不需要原始音频,是一种盲提取算法。实验结果表明该算法的容量较大,并且在受到重采样、裁剪等攻击时具有良好的鲁棒性。
In view of the low robustness of least for enhancing its robustness to illegal attacks is significant bits （LSB） algorithm, proposed. The algorithm performs a new algorithm scrambling pre- treatment using Logistic chaotic on the secret watermarking information to make watermarking bits garbled. The public audio signal is transformed by DWT, so that the secret information is embedded into the selected wavelet coefficients with multi-resolution. The original carrier is not required in wa- termarking recovery, i.e. is a blind extracted algorithm. Experimental results show that the capacity of the algorithm is high, and its robustness and resitance to illegal attacks, such as resample and cropping, is also superior.
出处
《广西大学学报（自然科学版）》
CAS
北大核心
2013年第5期1168-1172,共5页
Journal of Guangxi University（Natural Science Edition）
基金
北京市属高等学校高层次人才引进与培养计划项目(CIT&TCD201304034)
民政部减灾和应急工程重点实验室开放基金(LDRERE20120105)
北京市教委面上项目(KM201310011010)
