Transform domain steganography with blind source separation

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Abstract
  • This paper applies blind source separation or independent component analysis for images that may contain mixtures of
    text, audio, or other images for steganography purposes. The paper focuses on separating mixtures in the transform
    domain such as Fourier domain or the Wavelet domain. The study addresses the effectiveness of steganography when
    using linear mixtures of multimedia components and the ability of standard blind sources separation techniques to
    discern hidden multimedia messages. Mixing in the space, frequency, and wavelet (scale) domains is compared.
    Effectiveness is measured using mean square error rate between original and recovered images.
TitleTransform domain steganography with blind source separation
CreatorJouny, Ismail
PublisherProceedings of the SPIE
Academic DepartmentElectrical & Computer Engineering
DivisionEngineering
OrganizationLafayette College
Date Issued2015
Date Available2015-07-01T13:44:34Z
TypeArticle
LanguageEnglish
KeywordDiscrete Cosine Transform
Steganography
Wavelets
Blind Source Separation
Bibliographic CitationJouny, I. (2015) "Transform domain steganography with blind source separation." Proceedings of the SPIE 9497: 94970C1-12.
Standard IdentifierDOI 10.1117/12.2176439
Handle 10385/2014
Permalinkhttp://hdl.handle.net/10385/2014
Rights Statement In Copyright In Copyright
Rights HoldersSPIE
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