Image Steganalysis Based on Statistical Moments of Wavelet Subband Histograms in DFT Domain

Author

Xuan, Guorong ; Gao, Jianjiong ; Shi, Yun Q. ; Zou, Dekun

Author_Institution

Dept. of Comput. Sci., Tongji Univ., Shanghai

fYear

2005

fDate

Oct. 30 2005-Nov. 2 2005

Firstpage

1

Lastpage

4

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

Keywords

data encapsulation; discrete Fourier transforms; frequency-domain analysis; image coding; statistical analysis; DFT; data hiding method; frequency domain analysis; image steganalysis scheme; multilevel wavelet subband histogram; nonblind spread spectrum; statistical moment; Art; Computer science; Data encapsulation; Discrete Fourier transforms; Frequency domain analysis; Histograms; Spread spectrum communication; Steganography; Testing; Wavelet domain; Histogram; Statistical Moments; Steganalysis; Steganography; Wavelet decomposition;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 2005 IEEE 7th Workshop on

Conference_Location

Shanghai

Print_ISBN

0-7803-9288-4

Electronic_ISBN

0-7803-9289-2

Type

conf

DOI

10.1109/MMSP.2005.248584

Filename

4014005