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Proceedings Paper

Transform domain steganography with blind source separation
Author(s): Ismail Jouny
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Paper 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.

Paper Details

Date Published: 21 May 2015
PDF: 12 pages
Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 94970C (21 May 2015); doi: 10.1117/12.2176439
Show Author Affiliations
Ismail Jouny, Lafayette College (United States)


Published in SPIE Proceedings Vol. 9497:
Mobile Multimedia/Image Processing, Security, and Applications 2015
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

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