21 May 2015 Transform domain steganography with blind source separation
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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.
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Ismail Jouny, Ismail Jouny, "Transform domain steganography with blind source separation", Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 94970C (21 May 2015); doi: 10.1117/12.2176439; https://doi.org/10.1117/12.2176439

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