摘要
为提高隐写信息盲检测结果的准确率,开展基于模糊信息的多媒体图像隐写信息盲检测方法的设计研究。根据Contourlet变换原理,结合纹理的随机性与图像的丰富性识别图像纹理密度,提取多媒体图像隐写信息特征;将所有模糊信息作为一个一阶导数,根据模糊信息的最大似然量,融合特征信息;结合SVM分类器设计盲检测流程,完成隐写信息盲检测方法设计。通过对比实验证明,本文方法可对嵌入信息图像进行有效检测,检测正确率达到90.0%以上,具有一定应用价值。
In order to improve the accuracy of the blind detection results of steganographic information,a design research on the blind detection method of multimedia image steganographic information based on fuzzy information is carried out.According to the principle of Contourlet transformation,combining the randomness of the texture and the richness of the image,the texture density of the image is recognized,and the steganographic information characteristics of the multimedia image are extracted.Taking all the fuzzy information as a first-order derivative,the feature information is fused according to the maximum likelihood of the fuzzy information.Combined with the SVM classifier to design the blind detection process,complete the design of the blind detection method for steganographic information.Through comparative experiments,it is proved that this design method can effectively detect the embedded information image,and the detection accuracy rate reaches more than 90.0%,which has certain application value.
作者
陈先在
CHEN Xianzai(Safety technology training center of Datong Coal vocational and technical college,Datong 037000,China)
出处
《智能计算机与应用》
2022年第3期211-213,共3页
Intelligent Computer and Applications
关键词
模糊信息
多媒体
图像
隐写信息
盲检测
fuzzy information
multimedia
image
steganographic information
blind detection
