In this paper, a general blind image steganalysis system is proposed, in which the statistical moments of characteristic functions of the prediction-error image, the test image, and their wavelet subbands are selected as features. Artificial neural network is utilized as the classifier. The performance of the proposed steganalysis system is significantly superior to the prior arts.
Index Terms:
statistical moment, blind image steganalysis, moment-of-characteristic function, wavelet decomposition, prediction-error image, artificial neural network
Citation:
Y.Q. Shi, null Guorong Xuan, D. Zou, null Jianjiong Gao, null Chengyun Yang, null Zhenping Zhang, null Peiqi Chai, W. Chen, C. Chen, "Image steganalysis based on moments of characteristic functions using wavelet decomposition, prediction-error image, and neural network," icme, pp.4 pp., 2005 IEEE International Conference on Multimedia and Expo, 2005