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Accession Number ADA562747
Title Extraction of Spread-Spectrum Hidden Data in Digital Media.
Publication Date Jun 2012
Media Count 6p
Personal Author D. A. Pados M. Kulhandjian M. Li M. J. Medley S. N. Batalama
Abstract This paper considers the problem of blindly extracting data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We first develop a multi-signature iterative generalized least- squares (MIGLS) core procedure to seek unknown data hidden in hosts via multi- signature direct-sequence spread-spectrum embedding. Neither the original host nor the embedding signatures are assumed available. Then, cross-correlation enhanced M-IGLS (CCM- IGLS), a procedure described herein in detail that is based on statistical analysis of repeated independentM-IGLS processing of the host, is seen to offer most effective hidden message recovery. Experimental studies on images show that the proposed CC-MIGLS algorithm can achieve recovery probability of error close to what may be attained with known embedding signatures and host autocorrelation matrix.
Keywords Autocorrelation
Cross correlation
Digital systems
Electronic counter countermeasures
Least squares method
Message processing
Spread spectrum
Video signals

Source Agency Non Paid ADAS
NTIS Subject Category 46H - Radiofrequency Waves
Corporate Author State Univ. of New York at Buffalo. Dept. of Electrical and Computer Engineering.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1225
Contract Number N/A

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