摘要
隐写分析构造共生矩阵特征时因截断而导致部分信息丢失,于是提出基于DCT系数最低有效位面的特征扩展方法,增加对截断处嵌入信息的描述.对DCT系数平面取模生成最低有效位平面,通过统计相邻位置的取值,生成二阶、三阶共生矩阵.为进一步增强特征的性能,引入Zigzag扫描,获得重新排列的DCT系数平面,在此基础上提取相应特征.通过上述方法,在原有LIU特征的基础上构造508维特征.结果表明,在对抗DCT系数最低有效位嵌入的隐写中,所提方法能有效提高对隐写图像的检测率.
A method of feature enhancement based on detection of least significant bits of DCT coefficients is proposed to solve the problem of information loss due to truncation operation in the co-occurrence matrix. The DCT coefficient plane is calculated modulotwo to generate the least significant bit plane. Co-occurrence matrices are used to capture correlated features among neighboring coefficients of the least significant bit plane. To enhance the features for detection, Zigzag scan is used to produce a new DCT coefficient plane, and then a co-occurrence matrix is generated based on the new plane. A feature vector with 508 dimensions is extracted using the LIU method. Experimental results show that performance of the extended features is
作者
郑国华
冯国瑞
余江
程航
张新鹏
ZHENG Guo-hua FENG Guo-rui YU Jiang CHENG Hang ZHANG Xin-peng(School of Communication and Information Engineering, Shanghai University, Shanghai 200444, Chin)
出处
《应用科学学报》
CAS
CSCD
北大核心
2016年第6期670-676,共7页
Journal of Applied Sciences
基金
国家自然科学基金(No.61525203
No.61472235
No.61373151
No.U1536109)
上海市曙光计划基金(No.14SG36)
上海市优秀学术带头人计划基金(No.16XD1401200)资助
关键词
JPEG隐写分析
LSB平面
Zigzag扫描
JPEG steganalysis, LSB plane, better than those of previous schemes Zigzag scan
