Xuyu Xiang1, Jiaohua Qin1, *, Junshan Tan1, Neal N. Xiong1
CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 963-976, 2020, DOI:10.32604/cmc.2020.06394
Abstract In this paper, a new adaptive calibration algorithm for image steganalysis is
proposed. Steganography disturbs the dependence between neighboring pixels and
decreases the neighborhood node degree. Firstly, we analyzed the effect of steganography
on the neighborhood node degree of cover images. Then, the calibratable pixels are marked
by the analysis of neighborhood node degree. Finally, the strong correlation calibration
image is constructed by revising the calibratable pixels. Experimental results reveal that
compared with secondary steganography the image calibration method significantly
increased the detection accuracy for LSB matching steganography on low embedding ratio.
The proposed method also has a better performance… More >
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