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Numerical methods and programming, 2020, Volume 21, Issue 2, Pages 180–186
DOI: https://doi.org/10.26089/NumMet.v21r216 (Mi vmp1002) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Allocation of three brightness levels on a noisy image

A. V. Likhachev

Institute of Automation and Electrometry, Siberian Branch of Russian Academy of Sciences, Novosibirsk
Full-text PDF (502 kB) Citations (1)
DOI: https://doi.org/10.26089/NumMet.v21r216
Abstract: A new recovery method for images with three unknown brightness levels is proposed. In order to determine these levels, we use the image fragments whose histograms correspond to a given noise distribution. All pixels are distributed over the found brightness levels by a binary classification. The numerical results show the error in the estimate of the original brightnesses is no more than 3
Keywords: image reconstruction; verification of statistical hypotheses; binary classification.
Received: 03.07.2020
UDC: 004.932
Language: Russian
Citation: A. V. Likhachev, “Allocation of three brightness levels on a noisy image”, Num. Meth. Prog., 21:2 (2020), 180–186
Citation in format AMSBIB
\Bibitem{Lik20}
\by A.~V.~Likhachev
\paper Allocation of three brightness levels on a noisy image
\jour Num. Meth. Prog.
\yr 2020
\vol 21
\issue 2
\pages 180--186
\mathnet{http://mi.mathnet.ru/vmp1002}
\crossref{https://doi.org/10.26089/NumMet.v21r216}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    		Numerical methods and programming
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