现代电子技术Issue(7)：77-80,84,5.
基于特征融合稀疏表示的JPEG隐写分析
JPEG image steganalysis based on feature fusion and sparse representation
摘要
Abstract
A new steganalysis method of JPEG images is proposed in this paper,which is based on feature fusion and sparse representation. The extraction method of the selected features is introduced. The complementarity and redundancy among the selected features are analysed. The principal component analysis(PCA)method is adopted perform the dimension reduction and fusion of the selected features. The vector total variation is utilized to execute the sparse resolution according to the fused features and the sparse representation is used to detect steganography. Theoretical analysis and experimental results show that this method has a higher detection rate than that of the single feature sparse representation method.关键词
特征融合/稀疏表示/PCA/向量总变差Key words
feature fusion/sparse representation/PCA/vector total variation分类
信息技术与安全科学引用本文复制引用
刘慧兴,刘毅..基于特征融合稀疏表示的JPEG隐写分析[J].现代电子技术,2015,(7):77-80,84,5.
