Journal of Applied Sciences ›› 2013, Vol. 31 ›› Issue (4): 394-401.doi: 10.3969/j.issn.0255-8297.2013.04.010

• Signal and Information Processing • Previous Articles     Next Articles

Steganalysis Based on Image Contents

LI Tao, PING Xi-jian   


  1. Institute of Information Engineering, PLA Information Engineering University, Zhengzhou 450002, China
  • Received:2011-12-12 Revised:2012-04-11 Online:2013-07-27 Published:2012-04-11

Abstract:  Digital images are important covers in information hiding. It has been shown that steganalytic methods perform differently on images with different contents. Based on regionally stationary Markov characteristics of natural images, a new steganalysis method based on image segmentation is proposed. Quad-tree
segmentation based on local Variance is used to locate areas sensitive to message embedding. Features based on run length histogram are then extracted and optimized. Finally, detection of steganography is done using support vector machine. Experimental results show that the proposed steganalysis method outperforms previous methods in detection accuracy.

Key words:  steganalysis, image content, quad-tree, run length histogram

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