摘要
提出了一种基于JPEG图像DCT系数差分矩阵统计特征的隐写分析方法。该算法保留了以往算法选用的DCT系数水平和竖直方向的差分矩阵相关特征,通过增加其主副对角线方向上差分矩阵来提取和计算特征向量,进而利用SVM分类器进行分类。实验结果表明,该方法能够有效地对JPEG图像进行检测,并且具有较高的检测正确率。
In this paper,a steganalysis method based on statistical characteristics of the difference matrix in DCT domain is proposed to effectively detect JPEG steganography.This algorithm extracts and calculates feather vectors by the addition of the difference matrix of DCT coefficients in JPEG images which retains the use of horizontal and vertical directions relevant characteristics in the difference matrix of the DCT coefficients of the previous algorithm,and SVM is used to construct the classifiers.The experiment works have demonstrated the effectiveness of the proposed scheme,which has higher detection accuracy.
出处
《微型机与应用》
2011年第8期39-41,44,共4页
Microcomputer & Its Applications
