Detection of LSB matching steganography based on the Laplacian model of pixel difference distributions
Tao Zhang, Wenxiang Li, Yan Zhang, Xijian Ping · 2010
This paper puts forward a least significant bit (LSB) matching steganography detection method based on statistical modeling of pixel difference distributions. Based on the Laplacian model of pixel difference distributions, this paper proposes a method to estimate the number of the zero difference value using the number of non-zero difference values from stego-images, and uses the relative estimation error between the estimated and actual values of the number of the zero difference value as the classification characteristic. Experimental results indicate that the proposed algorithm is effective to detection LSB matching steganography and can achieve better detection performance than the local extreme method under most circumstances.