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Computer Optics, 2016, Volume 40, Issue 1, Pages 87–98
DOI: https://doi.org/10.18287/2412-6179-2016-40-1-87-98
(Mi co120)
 

This article is cited in 5 scientific papers (total in 5 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

A unified model for information hiding systems

V. A. Fedoseevab

a Samara State Aerospace University
b Image Processing Systems Institute, Russian Academy of Sciences
Full-text PDF (654 kB) Citations (5)
References:
Abstract: The paper presents a new model for a unified description of information hiding systems including both steganographic and watermarking systems. The model is based on considering three possible representations of the information being embedded: a binary vector, a digital signal, and a feature matrix. Some examples of the model usage are discussed.
Keywords: information hiding, data hiding, digital watermarking, watermarking system, steganography, steganographic system.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation МК-4506.2015.9
№2014/198
The work was partially funded by the RF President's grant MK-4506.2015.9, the University state contract # 2014/198 (code 2298), and the RF Ministry of Education and Science as part of the SSAU's global competitiveness enhancement program for 2013-2020.
Received: 28.01.2016
Revised: 22.02.2016
Document Type: Article
Language: Russian
Citation: V. A. Fedoseev, “A unified model for information hiding systems”, Computer Optics, 40:1 (2016), 87–98
Citation in format AMSBIB
\Bibitem{Fed16}
\by V.~A.~Fedoseev
\paper A unified model for information hiding systems
\jour Computer Optics
\yr 2016
\vol 40
\issue 1
\pages 87--98
\mathnet{http://mi.mathnet.ru/co120}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-1-87-98}
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  • https://www.mathnet.ru/eng/co120
  • https://www.mathnet.ru/eng/co/v40/i1/p87
  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Abstract page:175
    Full-text PDF :68
    References:50
     
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