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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, Issue 4, Pages 90–95
DOI: https://doi.org/10.14357/20718632200408 (Mi itvs431) 		 
This article is cited in 1 scientific paper (total in 1 paper)

PATTERN RECOGNITION

Method of automatic generation of blurry images for testing detection algorithms

A. V. Alekseev, J. A. Orlova, V. Rozaliev, A. Zaboleeva-Zotova

Volgograd State Technical University, Russia
Full-text PDF (2411 kB) Citations (1)
DOI: https://doi.org/10.14357/20718632200408
Abstract: The work is aimed at developing tools for automatic selection and filtering of blurry images. The paper describes a method of automatic generation of synthetic blurry images, which is based on the algorithm for specifying the point scattering function. Triple of scene images consists of clear, unfocused and blurred in motion images. The model base of various scene photographs was collected. This base is applied to test and evaluate the quality of methods and algorithms for detection of blurry images. The suggested method of blurry image generation can be used in methods of automatic image processing and machine learning.
Keywords: image processing, blurry image detection, blurry image generation.
Funding agency Grant number
Russian Foundation for Basic Research 18-07-00220
19-07-00020
19-47-343001
19-47-340003
19-47-340009
19-47-340013
19-47-343002
19-37-90060
20-07-00502
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Alekseev, J. A. Orlova, V. Rozaliev, A. Zaboleeva-Zotova, “Method of automatic generation of blurry images for testing detection algorithms”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2020, no. 4, 90–95
Citation in format AMSBIB
\Bibitem{AleOrlRoz20}
\by A.~V.~Alekseev, J.~A.~Orlova, V.~Rozaliev, A.~Zaboleeva-Zotova
\paper Method of automatic generation of blurry images for testing detection algorithms
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2020
\issue 4
\pages 90--95
\mathnet{http://mi.mathnet.ru/itvs431}
\crossref{https://doi.org/10.14357/20718632200408}
\elib{https://elibrary.ru/item.asp?id=44396802}
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  • https://www.mathnet.ru/eng/itvs431
  • https://www.mathnet.ru/eng/itvs/y2020/i4/p90
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
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