中文摘要：

为了实现数字图像中盲隐藏信息检测，通过提取对隐藏信息较敏感的图像质量评价量（IQMs）作为图像的特征向量捕获原始图像和隐藏图像之间的统计差异，选择基于径向基核函数的支撑向量机（SVM）作为原始图像和隐藏图像之间的分类器，对图像中隐藏信息的盲检测进行了研究。实验结果表明，该方法能有效地实现信息隐藏的盲检测分析。

英文摘要：

To realize blind steganalysis, image quality metrics （IQMs） were introduced to measure statistical differences between original image and its distortion version. These IQMs were sensitive to hidden message to be extracted as features of images. Kernel-based Support Vector Machine （Kernel-SVM） was chosen as classifier. Experiment results showed that this method could reach a high testing rate of hidden message of images.