摘要
在隐写分析领域,国内外已有很多学者对JPEG图像的DCT系数统计分布模型进行过研究.本文根据数据的统计特征,系统地描述了JPEG净图DCT系数的SαS模型.SαS模型具有很强的柔韧性,随着特征指数α改变,其分布形状就会改变.根据SαS模型的柔韧性,本文提出了一种新颖的、基于净图定量描述的隐写分析方法,这种隐写分析方法与传统模型的隐写分析方法相比,具有更好的隐藏信息检测性能.
In the domain of steganalysis,the theory of DCT coefficients statistical distribution model has been addressed in many previous papers.Based on the statistical characters of image′s data,this paper introduces the symmetric alpha-stable model of the cover image′s DCT coefficient systematically.Because of the adequate flexibility of SαS,its shape of distribution will be changed as the characteristic index α changes.According to SαS model flexibility,a new novel steganalysis method based on cover image quantitative describing is proposed in this paper.Compared with the traditional model′s steganalysis method,the performance of the new model′s is much better.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第8期1907-1912,共6页
Acta Electronica Sinica
基金
国家973重点基础研究发展规划(No.2007CB311203)
国家自然科学基金(No.60821001)
高等学校博士学位学科点专项科研基金(No.20070013007)
上海市教育发展基金会晨光计划(No.2008CGB21)
关键词
隐写分析
SαS模型
吻合度
定量描述
一类分类器
steganalysis
symmetric alpha-stable models
anastomose measurement
quantitative describing
one-classify
