Computer Optics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2017, Volume 41, Issue 6, Pages 957–962
DOI: https://doi.org/10.18287/2412-6179-2017-41-6-957-962
(Mi co470)
 

This article is cited in 11 scientific papers (total in 11 papers)

NUMERICAL METHODS AND DATA ANALYSIS

Image blur estimation using gradient field analysis

D. G. Asatryanab

a Russian-Armenian (Slavonic) University, Yerevan, Armenia
b Institute for Information and Automation Problems of National Academy of Sciences of Armenia, Yerevan, Armenia
References:
Abstract: Estimating the degree of blur is an important step in improving the image quality. In the literature, many approaches, criteria and algorithms for estimating the degree of blurring are proposed, which utilize the properties of the gradient field of an image. In this paper, we propose a new measure for blur estimation, based on the use of the Weibull distribution shape parameter, determined from a sample of magnitudes of the image gradient. Using artificially blurred images as an example, it is shown that the larger the blur factor, the nearer the proposed measure value to "2", and a monotonic dependence of the measure value on the blur factor is observed. The same effect is observed when the image is filtered, but as the filter factor increases, the value of the measure decreases monotonically. In the paper, it is proposed that the measure of blurring should be considered as a criterion for the structuredness of the image.
Keywords: image blur, gradient magnitude, Weibull distribution, form parameter, Sobel operator, structure.
Received: 19.08.2017
Accepted: 27.09.2017
Document Type: Article
Language: Russian
Citation: D. G. Asatryan, “Image blur estimation using gradient field analysis”, Computer Optics, 41:6 (2017), 957–962
Citation in format AMSBIB
\Bibitem{Asa17}
\by D.~G.~Asatryan
\paper Image blur estimation using gradient field analysis
\jour Computer Optics
\yr 2017
\vol 41
\issue 6
\pages 957--962
\mathnet{http://mi.mathnet.ru/co470}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-6-957-962}
Linking options:
  • https://www.mathnet.ru/eng/co470
  • https://www.mathnet.ru/eng/co/v41/i6/p957
  • This publication is cited in the following 11 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024