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
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;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.199