中文摘要：

将图像质量度量标准进行改造并结合在一起，可以针对图像数据进行唯秘密载体（盲）信息隐藏分析，即将图像质量度量标准中的原始图像改为全白图像设计特征向量。用SVM（支持向量机）对特征向量分类。分析过程中引入的人眼视觉系统的带通滤波性质。提高了算法准确率。实验结果表明了该方法对分析自然图像是有效的。

英文摘要：

Image quality metrics have two inputs： the original image and the stego-image. Whereas blind image steganalysis only has one input： the stego-image. In order to fit blind image steganalysis, the image quality metrics must be altered： the original images are replaced by white images. Using four image quality metrics, the distance between stego-images and white images can be obtained. Regarding the distance as eigenvectors and using SVM （support vector machine） to classify them into two classes： one includes hidden information, the other one doesn＇t. Band-pass filter property of human visual system is used to improve correct detection rate. Experiments show that this method is effective to nature images.