Abstract: 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.