In this paper, we propose a method for steganalysis of grayscale images using both spatial and Gabor features. The basis of our work is to use Gabor filter coefficients and statistics of the graylevel co-occurrence matrix of images to train a support vector machine. We show that this feature set works well in steganalysis of grayscale images steganographied by LSB matching and S-tools.
Published in:
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Date of Conference: June 28 2009-July 3 2009