An image steganalysis using ELM
Le Wang · 2014
In order to obtain higher detection rate and faster training speed for image steganalysis,a new steganalysis algorithm based on extreme learning machine(ELM)was presented by combining with the single hidden layer feedforward neural networks(SLFN).Firstly,some features in discrete cosine transform(DCT) and spatial domain were extracted from a JPEG image according to Fridrichs algorithm.Then the original 193-dimensional features were reduced to 18-dimensional features with PCA.Finally,A blindly steganalysis algorithm was constructed with the classifying technique of ELM.The experimental results showed that ELM had faster learning speed and similar classification accuracy compared with SVM since it had a smaller number of turning parameters and less number of neurons.ELM can therefore be used in a blind steganalysis for all kinds of JPEG images.