摘要
该文提出了一种基于小波变换和支持向量机分类的隐写分析算法、算法采用图象小波分解后的各子带系数的高阶统计量作为自然图象统计属性，利用支持向量机构造分类器完成对裁密图象和自然图象的分类。并对提出的算法进行了测试．达到了预期的效果。
In this paper, a steganalysis algorithm based on wavelet transform and support vector machine classification is intro- duced. In the algorithm,higher-order statistics of each sub-band coefficients after image wavelet decomposition act as natural im- age statistics properties and classification of stego-image and natural images are completed by using support vector machines for the classifier. The proposed algorithm is tested and good results are achieved.
作者
魏瑞
WEI Rui （School of Physics and Telecommunication Engineering, Shaanxi University of Technolog3,, Hanzhong 7230（10, China）
出处
《电脑知识与技术》
2012年第9期6115-6117,6122,共4页
Computer Knowledge and Technology
基金
陕西理工学院科研项目（项目编号：SLGKY10-14）
关键词
隐写分析技术
小波变换
支持向量机
Steganalysis technique
Wavelet transform
Support Vector Machine
