@Article{cmc.2020.06394,
AUTHOR = {Xuyu Xiang, Jiaohua Qin, Junshan Tan, Neal N. Xiong},
TITLE = {An Adaptive Image Calibration Algorithm for Steganalysis},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {2},
PAGES = {963--976},
URL = {http://www.techscience.com/cmc/v62n2/38287},
ISSN = {1546-2226},
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 against spatial steganography.},
DOI = {10.32604/cmc.2020.06394}
}