مورد إلكتروني
On the Extraction of Spread-Spectrum Hidden Data in Digital Media
العنوان: | On the Extraction of Spread-Spectrum Hidden Data in Digital Media |
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المصدر: | DTIC |
بيانات النشر: | 2012-06 |
تفاصيل مُضافة: | STATE UNIV OF NEW YORK AT BUFFALO DEPT OF ELECTRICAL ENGINEERING Li, Ming Kulhandjian, Michel Pados, Dimitris A Batalama, Stella N Medley, Michael J Matyjas, John D |
نوع الوثيقة: | Electronic Resource |
مستخلص: | 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 independent M-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. Presented at the IEEE International Conference on Communications (ICC 2012) held in Ottawa, Canada on 10-15 June 2012. The original document contains color images. |
مصطلحات الفهرس: | Radiofrequency Wave Propagation, SPREAD SPECTRUM, AUTOCORRELATION, BROADBAND, CROSS CORRELATION, DIGITAL SYSTEMS, ELECTRONIC COUNTER COUNTERMEASURES, LEAST SQUARES METHOD, MATRICES(MATHEMATICS), MESSAGE PROCESSING, SYMPOSIA, VIDEO SIGNALS, PE62702F, WUAFRLANCL6207, Text |
URL: | |
الإتاحة: | Open access content. Open access content Approved for public release; distribution is unlimited. |
ملاحظة: | text/html English |
أرقام أخرى: | DTICE ADA562747 872733693 |
المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
رقم الأكسشن: | edsoai.ocn872733693 |
قاعدة البيانات: | OAIster |
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