Title :
Bhattacharyya Distance for Blind Image Steganalysis
Author :
Ke, Ke ; Zhao, Tao ; Li, Ou
Author_Institution :
Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
This paper explores Bhattacharyya Distance principle and introduces it to recognize stego algorithms in use. First of all, we select the most important features by the means of applying Bhattacharyya distance. Then, BP neural network is used to classify cover and stego images. Extensive experimental works show that the proposed schemes have satisfactory performance on Jpeg steganography like F5, Outguess, Jsteg and MB2.
Keywords :
backpropagation; image processing; neural nets; steganography; BP neural network; Bhattacharyya distance principle; Jpeg steganography; blind image steganalysis; stego algorithm; stego image; Accuracy; Artificial neural networks; Classification algorithms; Conferences; Feature extraction; Neurons; Transform coding;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2010 International Conference on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4244-8626-7
Electronic_ISBN :
978-0-7695-4258-4
DOI :
10.1109/MINES.2010.143
