Image steganalysis based on statistical moments of wavelet subband histograms in DFT domain
Document Type
Conference Proceeding
Publication Date
1-1-2005
Abstract
This paper proposed an image steganalysis scheme based on statistical moments of histogram of multi-level wavelet subbands in frequency domain. Our theoretical analysis has pointed out that the statistical moments in frequency domain of histogram is more sensitive to data embedding than the statistical moments of histogram in spatial domain. We test the performance of our proposed scheme over non-blind spread spectrum (SS) data hiding method, blind SS method, block based SS method, LSB method and QIM data hiding methods. Besides, steganographic tools such as Outguess, JSteg and F5 are tested. The experimental results have showed that the proposed method outperforms the prior arts by Farid and Harmsen.
Identifier
42749106257 (Scopus)
ISBN
[0780392892, 9780780392892]
Publication Title
2005 IEEE 7th Workshop on Multimedia Signal Processing
External Full Text Location
https://doi.org/10.1109/MMSP.2005.248584
Recommended Citation
Xuan, Guorong; Gao, Jianjiong; Shi, Yun Q.; and Zou, Dekun, "Image steganalysis based on statistical moments of wavelet subband histograms in DFT domain" (2005). Faculty Publications. 19916.
https://digitalcommons.njit.edu/fac_pubs/19916
