摘要
针对图像隐写容量小及抗检测性能差的问题,提出一种考虑载体误差向量的高效隐写算法.首先,通过图像压缩处理,获取载体图像的压缩参考值,与原始图像进行差值处理,获取载体误差向量;然后,通过空域滤波实现隐写图像基数矩阵的参数优化,比较给出隐写图像像素点集,并通过混合编码实现隐写信息的有条件载入.仿真结果表明,与传统方法相比,该方法明显提升了隐写容量,降低了隐写畸变效应,并提升了隐写的安全性能.
In view of the small image steganographic capacity and the poor detection performance problem,this paper proposes a efficient steganographic algorithm with the consideration of carrier error vector. First of all, the image compression reference value is accessed by the image compression processing, and the original image for carrier error vector is obtained by the differential treatment. Then,image pixel point set is given by the spatial filtering steganographic image base matrix parameters optimization,and is mixed by the conditional steganographic information mixing coded. The simulation results show that the proposed method obviously improves the steganographic capacity, reduces the steganographic distortion effect,and improves the safety performance of steganalysis compared with the traditional methods.
作者
林显宁
LIN Xian-ning(Department of Information Technology ,Guangdong Polytechnic College , zhao qing 526100 , guangdong ,China)
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2017年第3期437-441,共5页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
大学生创新创业训练项目(175)
关键词
图像隐写
失真函数
误差向量
图像编码
image steganography
distortion function
error vector
image coding
