DocumentCode
2434794
Title
Information Hiding Based on Empirical Mode Decomposition
Author
Liang, LingFei ; Ping, Ziliang
Author_Institution
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing
Volume
1
fYear
2008
fDate
19-20 Dec. 2008
Firstpage
561
Lastpage
565
Abstract
In the paper, the information hiding algorithm based on the empirical mode decomposition is proposed. This decomposition method is adaptive, and highly efficient. In the proposed algorithm, the cover image is decomposed into several intrinsic mode functions (IMFs). The weighted secret information takes the place of one of IMFs. Meanwhile, the secret information can well be hidden in an image and then absolutely be restored. Human visual system (HVS) is met too. The standard deviation (SD) of every sifting process serves as keys so the security is ensured. In addition the proposed algorithm is compared with other algorithms and found that the amount of the hidden information in the proposed algorithm is bigger than other methods.
Keywords
security of data; empirical mode decomposition; human visual system; information hiding; intrinsic mode functions; standard deviation; Data mining; Frequency; Humans; Image restoration; Information security; Space technology; Visual system; Watermarking; Wavelet coefficients; Wavelet transforms; empirical mode decomposition; information hiding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3490-9
Type
conf
DOI
10.1109/PACIIA.2008.199
Filename
4756622
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