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

被引:5
作者
Yang, Chunfang [1 ]
Wang, Jie [1 ]
Lin, Chengliang [1 ]
Chen, Huiqin [2 ]
Wang, Wenjuan [1 ]
机构
[1] Zhengzhou Sci & Technol Inst, Zhengzhou 450001, Peoples R China
[2] Univ Michigan, Transportat Res Inst, Ann Arbor, MI 48109 USA
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2019年 / 60卷 / 02期
基金
中国国家自然科学基金;
关键词
Steganography; steganalysis; LSB matching; modified pixel; filter; STEGANOGRAPHIC PAYLOAD LOCATION;
D O I
10.32604/cmc.2019.06154
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:633 / 644
页数:12
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