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Accession Number
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ADA562747
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Title
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Extraction of Spread-Spectrum Hidden Data in Digital Media.
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Publication Date
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Jun 2012
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Media Count
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6p
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Personal Author
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D. A. Pados M. Kulhandjian M. Li M. J. Medley S. N. Batalama
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Abstract
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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.
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Keywords
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Autocorrelation
Broadband
Cross correlation
Digital systems
Electronic counter countermeasures
Least squares method
Matrices(Mathematics)
Message processing
Spread spectrum
Video signals
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Source Agency
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Non Paid ADAS
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NTIS Subject Category
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46H - Radiofrequency Waves
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Corporate Author
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State Univ. of New York at Buffalo. Dept. of Electrical and Computer Engineering.
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Document Type
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Technical report
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Title Note
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Conference paper.
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NTIS Issue Number
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1225
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Contract Number
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N/A
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