JPEG image steganalysis based on characteristic function and quality factor

doi:10.7523/j.issn.2095-6134.2010.3.013

Abstract

Abstract:

In this paper, we proposed a new JPEG universal steganalytic scheme. By analyzing JPEG quantization model and steganographic model in DCT domain and wavelet domain, the study shows difference of quantization noise and embedding noise. Features calculated from the characteristic functions of JPEG individual histograms and wavelet subbands histograms are used to discriminate them. We categorize JPEG images based on quality factor and train different SVM classifier for individual categories. Experiments show that our method has better performance than some exiting JPEG universal steganalytic methods.

Key words: information hiding, image steganography, steganalysis, characteristic function, quality factor

CLC Number:

TP301

DENG Yi, ZHAO Xian-Feng, FENG Deng-Guo. JPEG image steganalysis based on characteristic function and quality factor[J]. , 2010, 27(3): 389-396.

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