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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/38985
Title: Method for preprocessing a distorted image based on the deconvolution procedure
Authors: Beknazarova, S. S.
Jaumitbayeva, M. K.
Keywords: материалы конференций
method for preprocessing
a distorted image
based on the deconvolution procedure
Issue Date: 2020
Publisher: Беспринт, РБ
Citation: Beknazarova, S.S. Method for preprocessing a distorted image based on the deconvolution procedure / S. S. Beknazarova, M. K. Jaumitbayeva // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня: сб. материалов VI Междунар. науч.-практ. конф., Минск, 20-21 мая 2020 года: в 3 ч. Ч. 1 / редкол. : В. А. Богуш [и др.]. – Минск : Бестпринт, 2020. – С. 156-161.
Abstract: In the article conducted the review of solution to the deconvolution problem is to reverse a twodimensional convolution. The term "deconvolution" covers the most important and widely used image processing methods. The need for such an operation arises in all areas of science related to measurements. There are a large number of papers on deconvolution methods.The deconvolution problem can be solved in several ways. The choice of the most suitable method for solving this problem depends on a number of factors, including the shape and extent of the point propagation function (FRT), the nature of the original image, and the degree of truncation by the frame window of the recording device.
URI: https://libeldoc.bsuir.by/handle/123456789/38985
ISBN: 978-985-90533-7-5
Appears in Collections:BIG DATA and Advanced Analytics. BIG DATA и анализ высокого уровня (2020)
BIG DATA and Advanced Analytics. BIG DATA и анализ высокого уровня (2020)

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