Universal Steganalysis Algorithm Based on Multi-wavelet Statistics Feature
Sanping Li · Jisuanji gongcheng · 2010
Aiming at the problem that existing steganalysis algorithm has poor detection performance,this paper presents a universal steganalysis algorithm based on multi-wavelet statistics feature.Image is decomposed to multi-scale and multi-direction through multi-wavelet transform.Then two kinds of statistics features are got through every sub-image.The Support Vector Machine(SVM) is trained on these statistic features to construct a universal steganalysis.Results show that this algorithm can catch more effective features of image and it has correct detection rate compared with Farid algorithm.