Features-Pooling Blind JPEG Image Steganalysis

Digital Image Computing: Techniques and Applications（2008）

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摘要

In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.

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关键词

features-pooling blind jpeg image,steganalytic feature,grayscale jpeg image,neural network,state-of-the-art blind steganalysis,new blind steganalysis,features-pooling method,different steganographic model,classification result,steganalysis,mathematical model,support vector machines,feature extraction,classification,steganography,vectors,image classification,artificial neural networks,image features

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