A new universal steganalysis method based on statistical characteristic of multi-domain features extraction is proposed in this paper, mainly aimed at detecting hidden information in images with multiple common formats. Features are firstly extracted in contourlet domain and extended to spatial domain afterwards, by calculating correlation between DCT (discrete cosine transform) coefficients using joint probability density and calculating distribution of coefficients in image using co-occurrence matrix. The experimental results shows that the proposed method has better detection effects on images with different steganography carriers, and achieves higher independence of image formats and better average detection effects compared with typical universal steganalysis algorithms at present. KeywordsUniversal steganalysis• Contourlet• Joint probability density• Multidomain feature• Independence of image formats
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