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| Universal Steganalysis Method Based on Multi-domain Features |
| Yan Yan, Liting Li, Qiuyu Zhang |
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Abstract A new method of universal steganalysis for BMP images, which had low
embedding rate and based on multi-domain features, is proposed in
this paper. It provided a way to extract statistical features from
multi-domain for universal steganalysis and solved the problem of
low detection rate for a small amount of data embedding. Features
were extracted from gradient energy differences in spatial domain,
correlation coefficient in DCT domain, and the mean and standard
deviation of difference value matrix in DWT domain. Experiments
results show that detection achieved a better reliability when the
embedding capacity is above 2 KB, compared with existing methods.
DOI: 10.12733/jics20101693
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