西安电子科技大学学报（自然科学版）Issue(5)：133-138,6.DOI:10.3969/j.issn.1001-2400.2015.05.023
新型校准表示的JPEG通用隐写分析算法
Blind steganalysis algorithm based new calibration for JPEG images
摘要
Abstract
To improve the embedding sensibility of calibrated feature in steganalysis , by studying the relationship between calibration technique and feature , a mathematical model for calibration based on the calibration classification is established , and a blind JPEG steganalysis algorithm based on the new calibration is presented . First we crop 4 pixels in the image and put forward a modified form of calibration , then the histogram characteristic is obtained according to the spatial distribution of the image features before and after calibration , and the Markov transfer probability matrix of the new calibration is calculated on the basis of redundancy . Finally , we fuse these features with the blocks feature and obtain the feature vector . Through the detection experiment of nsF5 , Jsteg and MB1 algorithms with low embedding rates and among the feature vector , it is shown that this method has a better detection performance compared with those existing calibration methods . Its correctrate is more than 90% . The feature sets also show some complementary characteristics . It can be more stable and reliable in the different quality factors experiment .关键词
校准/JPEG隐写分析/特征融合/可靠性Key words
calibration/JPEG steganalysis/feature fusion/reliability分类
信息技术与安全科学引用本文复制引用
张敏情,张焱,李德龙,罗鹏..新型校准表示的JPEG通用隐写分析算法[J].西安电子科技大学学报（自然科学版）,2015,(5):133-138,6.基金项目
国家自然科学基金资助项目（61379152）；陕西省自然科学基金资助项目 （）
