Open Access

ARTICLE

Locating Steganalysis of LSB Matching Based on Spatial and Wavelet Filter Fusion

Chunfang Yang^1,*, Jie Wang¹, Chengliang Lin¹, Huiqin Chen², Wenjuan Wang¹

1 Zhengzhou Science and Technology Institute, Zhengzhou, 450001, China.
2 University of Michigan Transportation Research Institute, Ann Arbor, USA.

* Corresponding Author: Chunfang Yang. Email: .

Computers, Materials & Continua 2019, 60(2), 633-644. https://doi.org/10.32604/cmc.2019.06154

Abstract

For the case of that only a single stego image of LSB (Least Significant Bit) matching steganography is available, the existing steganalysis algorithms cannot effectively locate the modified pixels. Therefore, an algorithm is proposed to locate the modified pixels of LSB matching based on spatial and wavelet filter fusion. Firstly, the validity of using the residuals obtained by spatial and wavelet filtering to locate the modified pixels of LSB matching is analyzed. It is pointed out that both of these two kinds of residuals can be used to identify the modified pixels of LSB matching with success rate higher than that of randomly guessing. Then, a method is proposed to measure the correlation between the results of two locating algorithms. Statistical results show that there are low correlations between the locating results of spatial filter based algorithm and wavelet filter based algorithm. Then these two kinds of residuals are fused by the voting method to improve the locating performance. The experimental results show that the proposed fusion algorithm can effectively improve the locating accuracy for the modified pixels of LSB matching.

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Citations