关键词: 定量隐写分析, 特征提取, 流形学习, JPEG图像

Abstract: A quantitative steganalysis algorithm of JPEG images based on DCT coefficient statistical characteristics is proposed. Based on the research of DCT coefficient statistical model of JPEG images, the characteristic parameter[α], which can reflect the embedding capacity change rule, is extracted in the proposed method. With the LIB-SVM classifier, a kind of manifold learning algorithm is applied to feature extraction from the characteristic parameters including[α]. By this means, the change ratio of DCT coefficients caused by steganography can be estimated. The results show that compared with other traditional quantitative analysis, the algorithm gains higher estimation accuracy and stability.

Key words: quantitative steganalysis, feature extraction, manifold learning, JPEG