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An Algorithm for Chaotic Masking and Its Blind Extraction of Image Information in Positive Definite System

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Abstract

According to the renewable and the noise-like characteristic of chaotic signal, the effective frequency band and the energy band of image information are used to carry out the chaotic masking transmission, so as to achieve the security transmission of image information. Chen chaos is selected as the carrier to carry out the chaotic masking transmission for the image information of the two time-frequency aliasing under the positive definite transmission model, and the blind extraction algorithm is used to restore it in the receiver. The influence of additive noise source on the extraction effect is analyzed, and a secure transmission method of image information under chaotic masking is proposed in this paper.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (grant 61571181), Postdoctoral Research Foundation of Heilongjiang Province (grant LBH-Q14136), and Graduate Student Innovation Research Project Fundation of Heilongjiang University (grant YJSCX2017-148HLJU).

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Correspondence to Erfu Wang .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, X., Xie, Y., Wang, E., Qin, D. (2018). An Algorithm for Chaotic Masking and Its Blind Extraction of Image Information in Positive Definite System. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_47

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  • DOI: https://doi.org/10.1007/978-3-319-73447-7_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73446-0

  • Online ISBN: 978-3-319-73447-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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