摘要
隐秘信息分析的目的是正确分辨出文件中是否带有隐藏的信息.自然图像和含密图像的DCT系数经过差分之后,它们的直方图会呈现不同的规律,作者以此为特征向量,来检测JPEG图像是否带有隐藏信息.通过对原特征向量进行分析,提取了二次特征,用来估算在JPEC文件中大致所埋的信息量.实验结果表明,这一算法有效.
The purpose of image steganalysis is to find out whether the hidden messages exist in images. After differencing DCT coefficients of natural - images and stego - images, their histograms present different laws. This paper regards this as the feature vector to determine whether a hiding message is in the image. Though the analysis of former feature vector, the author extracts a new feature to estimate the amount of hidden information in JPEG. The results of the experiments show our approach is extremely effective.
出处
《上海师范大学学报(自然科学版)》
2005年第3期26-32,共7页
Journal of Shanghai Normal University(Natural Sciences)