关键词: AdaBoostSVM, 多特征融合, 隐写检测, 特征组合

Abstract: Traditional blind steganalysis algorithm for JPEG image is mainly designed by a single or two feature-sets fusion. However, for multiple feature sets, how to select an optimum combination to fuse from these feature sets is still at a research stage. This paper proposes a universal steganalysis method for multi-feature fusion based on the improved AdaBoostSVM JPEG image, and many experiments are designed to verify the performance of the algorithm. By experimental comparison, it is found that this method can obtain a feature combination of optimum fusion effects with limited computational complexity in JPEG-imaged blind steganalysis for multi-feature fusion.


Key words: AdaBoostSVM, multi-feature fusion, steganalysis, feature combination