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Computer Optics, 2015, Volume 39, Issue 5, Pages 751–761
DOI: https://doi.org/10.18287/0134-2452-2015-39-5-751-761 (Mi co41) 		 
This article is cited in 4 scientific papers (total in 4 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Generalized image compression algorithms for arbitrarily-shaped fragments and their implementation using artificial neural networks

A. A. Sirota, M. A. Dryuchenko

Voronezh State University
Full-text PDF (1368 kB) Citations (4)
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DOI: https://doi.org/10.18287/0134-2452-2015-39-5-751-761
Abstract: A problem of image compression in arbitrarily-shaped fragments is considered. A theoretical substantiation of hetero- and auto-associative compressive transformations on random fields fragments using neural networks is given.
Keywords: data compression, neural networks, image processing, digital watermarks.
Funding agency Grant number
Russian Foundation for Basic Research 13-01-97507 р_центр_а
The study was supported by RFBR under the research project number 13-01-97507 r_tsentr_a.
Received: 15.09.2015
Revised: 13.11.2015
Document Type: Article
Language: Russian
Citation: A. A. Sirota, M. A. Dryuchenko, “Generalized image compression algorithms for arbitrarily-shaped fragments and their implementation using artificial neural networks”, Computer Optics, 39:5 (2015), 751–761
Citation in format AMSBIB
\Bibitem{SirDry15}
\by A.~A.~Sirota, M.~A.~Dryuchenko
\paper Generalized image compression algorithms for arbitrarily-shaped fragments and their implementation using artificial neural networks
\jour Computer Optics
\yr 2015
\vol 39
\issue 5
\pages 751--761
\mathnet{http://mi.mathnet.ru/co41}
\crossref{https://doi.org/10.18287/0134-2452-2015-39-5-751-761}
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    • This publication is cited in the following 4 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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