一种基于2-D Markov链模型的图像信息隐藏检测方法

摘要

An information hiding detection method is proposed combining 2-D Markov chain of thresholded prediction-error image and Support Vector Machines as classifier. As embedding data rate being 0.1 bpp ( bits per pixel), experimental investigation utilizing spread spectrum (SS) and a generic QIM method data hiding method respectively , correction detection rates are all above 90％ . For generic LSB method , the method achieves a detection rate from 50％ to 90％ above with 0. 01bpp -0. 3bpp various embedding data rates.%通过设定图像预测错误门限,并结合支持向量机(Support Vector Machines,SVM)对图像数据进行分类,提出一种二维(2-D)马尔科夫链模型的信息隐藏检测系统.在嵌入率为0.1bpp时,分别应用扩频(spread spectrum,ss)和量化索引调制(Quantizafion Index Modulation,QIM)进行实验,系统实现数字水印的正确检测率超过90%;而应用LSB方法,在嵌入率为0.01bpp-0.3bpp条件下,系统实现的数字水印正确检测率在50%～90%以上.