针对基于调色板图像的EzStego隐写算法，在分析比较了目前常见的χ^2统计分析与RS分析方法后，指出了这两种方法在低嵌入率的EzStego隐写图像检测中的不足及其产生问题的主要原因，考虑到EzStego隐写算法的以下两个显著特征：颜色对及顺序嵌入，提出了一种基于颜色对频度统计分析的新型检测算法。实验结果表明，这种方法适用于EzStego隐写图像的检测，在低嵌入率情况下，其检测率和虚警率优于χ^2统计分析与RS分析方法。该方法在使虚警率降低1～2倍的情况下，检测率达到87％，而其他两个方法的检测率只有63％～69％，该新方法19～24个百分点。

The EzStego algorithm based on the palette images is studied, and the well known χ2and RS are analyzed based on whichwe pointed out the irdisadvantages when they are used to detect the lower embedding rate images processed by EzStego. Color pairs and sequential embedding are two characters of EzStego, according to which a new method is proposed. Experimental results show that this method works well for detecting stego images of Ezstego and can achieve better performance comparing to both χ2 and RS in case of detecting little embedded stego images.