博弈模型上的策略自适应隐写方法

doi:10.3969/j.issn.1001-2400.2015.04.027

Abstract

Abstract:

On the basis of the improvement of the game theory model, we propose a Strategic adaptive steganography method. First, we use the human visual characteristics of luminance masking, texture masking and the frequency masking factor to compute the distortion measure function after the image is transformed into the wavelet domain. Then we establish a connection between content adaptive distortion measure functionand the strategic adaptive bias function, so that we can get the probability of each cover element for embedding the message according to the Nash equilibrium in the game theory model for steganography. Experimental results show that the statistical security of the proposed method is high than that of the HUGO which is the method of content adaptive steganography.

Key words: steganography, game theory, strategic adaptive, human visual system(HVS)

CLC Number:

TP391

NIU Ke;LI Jun;LIU Jia;YANG Xiaoyuan. Strategic adaptive steganography based on the game theory model[J].J4, 2015, 42(4): 165-170.

References

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Strategic adaptive steganography based on the game theory model

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