An Adaptive Steganographic Algorithm Based on Image Texture Complexity

• 1、Insititute of Computer Science and Technology,Chongqing University of Posts and Telecommunications,Chongqing 400065
• 2、School of Software Engineering,Chongqing University of Posts and Telecommunications

Abstract：Combining the characteristics of the human visual system with the statistical characteristics of the image textures, higher security of stego image can be obtained by adaptively embedding secret data in rich textures . As a result ,an efficient adaptive steganographic algorithm is proposed, and the textures of G channel is priority adaptively selected for embedding secret message according to the assessment criteria of texture complexity and steganographic capacity, and the remaining two channels can obtain corresponding embedding textures according to the G channel. In the embedding textures, the relationship between second LSBs and LSBs of adjacent pixels can be used to implement embedding of secret data.In extraction phase,according to the reference G channel to obtain the stego pixel sequence, the stego pixel sequence is applied to the binary function to extract secret information. The experimental results show that the structural similarity index and embedding efficiency that is used to measure image distortion are higher than the six classical algorithms , and the R-SPAM, M-SPAM and A-SPAM features of correlation channel are extracted from three channels , which is used to train and classify according to the ensemble classifier ,the predicted ROC curves are better than the based LSBM algorithms, and have stronger resistance to steganalysis.

Keywords： texture complexity steganographic capacity structural similarity index embedding efficiency steganalysis.