摘要
提出了一种新的基于统计特性的LSB隐写分析算法。该算法利用密写对图像中相邻像素相关性的影响来判断隐秘信息的有无。新算法只需考虑相邻像素对中像素值一个为奇数、另一个为偶数的情况,且只需分别统计奇数较大的相邻像素对的个数与偶数较大的相邻像素对的个数,统计量小,实现简单。实验结果表明,新的隐写分析算法具有较高的检测性能。
This paper proposed a new steganalysis technique based on statistical property. The presence of the secret information was judged by the change of adjacent pixels caused by steganography. The new algorithm just considered the adjacent pixel pair in which one was odd and the other was even. The algorithm only needed to count the number of the adjacent pixel pair in which the odd one was greater than the even one and the number of the adjacent pixel pair in which the even one was greater than the odd one, respectively. It could be simply applied and its statistics was small. Experimental comparison shows that the new steganalysis algorithm has a strong detection capability.
出处
《计算机应用研究》
CSCD
北大核心
2007年第10期128-130,134,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(60573045)
