Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function
Document Type
Conference Proceeding
Publication Date
12-1-2006
Abstract
Owing to the popular usage of JPEG images, the steganographic tools for JPEG images emerge increasingly nowadays, among which OutGuess, F5, and the model based steganography are the most advanced. Advancing the previous work, we present a new universal steganalysis method based on statistical moments derived from both image 2-D array and JPEG 2-D array in this paper. In addition to the first order histogram, the second order histogram is considered. Consequently, the moments of 2-D characteristic functions are also used for steganalysis. Extensive experimental works have shown that the proposed method outperforms in general the prior-arts of steganalysis methods in attacking the three aforesaid steganographic schemes. ©2006 IEEE.
Identifier
42949152730 (Scopus)
ISBN
[1424404819, 9781424404810]
Publication Title
Proceedings International Conference on Image Processing Icip
External Full Text Location
https://doi.org/10.1109/ICIP.2006.312383
ISSN
15224880
First Page
105
Last Page
108
Recommended Citation
Chen, Chunhua; Shi, Yun Q.; Chen, Wen; and Xuan, Guorong, "Statistical moments based universal steganalysis using JPEG 2-D array and 2-D characteristic function" (2006). Faculty Publications. 18605.
https://digitalcommons.njit.edu/fac_pubs/18605
