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Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE (2008)
Dec. 19, 2008 to Dec. 20, 2008
ISBN: 978-0-7695-3490-9
pp: 561-565
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.
information hiding, empirical mode decomposition

Z. Ping and L. Liang, "Information Hiding Based on Empirical Mode Decomposition," 2008 Pacific-Asia Workshop on Computational Intelligence and Industrial Application. PACIIA 2008(PACIIA), Wuhan, 2008, pp. 561-565.
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