Steganalysis of least significant bit matching based on image histogram and correlation

Zhihua Xia; Shufang Wang; Xingming Sun; Baowei Wang

doi:10.1117/1.JEI.22.3.033008

12 August 2013 Steganalysis of least significant bit matching based on image histogram and correlation

Zhihua Xia, Shufang Wang, Xingming Sun, Baowei Wang

Author Affiliations +

Journal of Electronic Imaging, Vol. 22, Issue 3, 033008 (August 2013). https://doi.org/10.1117/1.JEI.22.3.033008

Abstract

The steganalysis/detection of spatial domain least significant bit (LSB) matching steganography in grayscale images, which is the antetype of many sophisticated steganographic methods, is concentrated on. Spatial LSB matching can be modeled by adding independent noise to the image, and it is proved theoretically that the LSB matching will smooth the image histogram and histogram of difference image. Accordingly, the absolute differences between adjacent elements of image histogram are calculated as the histogram features, and co-occurrence matrix is utilized to extract features based on image correlation. A calibrated image is generated by embedding a message into the pending image. The features are extracted from both pending and calibrated images, and the ratios of corresponding features between pending and calibrated images are used as the final features. A support vector machine is utilized to train the classifier with the extracted features. Experimental results show that the proposed features outperform some previous ones and reveal the respective strong points of histogram and correlation features in the detection of never-compressed and JPEG-compressed images.

Citation Download Citation

Zhihua Xia, Shufang Wang, Xingming Sun, and Baowei Wang "Steganalysis of least significant bit matching based on image histogram and correlation," Journal of Electronic Imaging 22(3), 033008 (12 August 2013). https://doi.org/10.1117/1.JEI.22.3.033008

Published: 12 August 2013

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available