摘要
提出一种基于图像小波系数相关规律性分析及幅度预测的隐写分析方法,首先对小波系数所处局部区域的相关规律性强弱进行定量分析;然后选择规律性较强的局部区域,利用自然图像小波系数在尺度间和尺度内的统计相关性,以及不同图像分量小波系数之间存在的相关性,对小波系数的幅度值进行自适应预测;最后通过分析预测误差的统计特性来判断图像中是否含有隐秘信息.实验证明该方法对于小波域信息隐藏具有较好的检测效果.
A statistical steganalysis algorithm is proposed based on the correlation analysis and magnitude evaluation of wavelet coefficients.Firstly,the local regularity of wavelet coefficients correlation is quantitatively analyzed.Secondly,wavelet coefficient magnitudes of the selected regular local areas are evaluated adaptively,using both the inter-scale and intra-scale statistical correlations of the natural image wavelet coefficients.Finally,stego-images are distinguished from cover-images by means of analyzing the statistical property of the prediction errors.The proposed method proved to be highly effective for the wavelet domain steganography.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2010年第11期2704-2707,共4页
Acta Electronica Sinica
基金
国家自然科学基金(No.60776807)
天津市自然科学基金(No.06YFJMJC00700
No.07JCYBJC13500)
关键词
图像处理
信息隐藏
隐写分析
小波域
幅度预测
image processing
information hiding
steganalysis
wavelet domain
magnitude prediction
