New method for detecting and removing random-valued impulse noise from images

The paper proposes a method for detecting and removing impulse noise in images, which determines the similarity between pixels by distance and the difference in brightness values in the local detector window. An impulse noise model is considered, where distorted pixels take random values and also ra...

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Главные авторы:	Lyakhov, P. A., Ляхов, П. А., Orazaev, A. R., Оразаев, А. Р.
Формат:	Статья
Язык:	Russian
Опубликовано:	2023
Темы:	Image processing Median filter Impulse noise Adaptive filter
Online-ссылка:	https://dspace.ncfu.ru/handle/20.500.12258/23510
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id	ir-20.500.12258-23510
record_format	dspace
spelling	ir-20.500.12258-235102025-02-12T09:24:23Z New method for detecting and removing random-valued impulse noise from images Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р. Image processing Median filter Impulse noise Adaptive filter The paper proposes a method for detecting and removing impulse noise in images, which determines the similarity between pixels by distance and the difference in brightness values in the local detector window. An impulse noise model is considered, where distorted pixels take random values and also randomly appear in the image. Pixels identified as pulses are recovered with an adaptive median filter. The impulses are determined in the detector window, whose size is calculated in the Euclidean metric and increases with increasing noise intensity in the image. In the experimental part, we discuss visual differences between familiar methods and the one proposed herein on three images for three different impulse noise intensities. In the approximation of image fragments, it is seen that the proposed method copes with the task in the best way, which is also confirmed by numerical estimates of the quality of image reconstruction from impulse noise based on the peak signal-to-noise ratio and the structural similarity index. The proposed method can be used when solving problems of cleaning images under conditions of distorting impulses and for eliminating distortions caused by adverse weather effects, such as raindrops and snow. 2023-05-25T09:37:44Z 2023-05-25T09:37:44Z 2023 Статья Lyakhov, P.A., Orazaev, A.R. New method for detecting and removing random-valued impulse noise from images // Computer Optics. - 2023. - 47(2), pp. 262-271. - DOI: 10.18287/2412-6179-CO-1145. http://hdl.handle.net/20.500.12258/23510 ru Computer Optics application/pdf application/pdf
institution	СКФУ
collection	Репозиторий
language	Russian
topic	Image processing Median filter Impulse noise Adaptive filter
spellingShingle	Image processing Median filter Impulse noise Adaptive filter Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р. New method for detecting and removing random-valued impulse noise from images
description	The paper proposes a method for detecting and removing impulse noise in images, which determines the similarity between pixels by distance and the difference in brightness values in the local detector window. An impulse noise model is considered, where distorted pixels take random values and also randomly appear in the image. Pixels identified as pulses are recovered with an adaptive median filter. The impulses are determined in the detector window, whose size is calculated in the Euclidean metric and increases with increasing noise intensity in the image. In the experimental part, we discuss visual differences between familiar methods and the one proposed herein on three images for three different impulse noise intensities. In the approximation of image fragments, it is seen that the proposed method copes with the task in the best way, which is also confirmed by numerical estimates of the quality of image reconstruction from impulse noise based on the peak signal-to-noise ratio and the structural similarity index. The proposed method can be used when solving problems of cleaning images under conditions of distorting impulses and for eliminating distortions caused by adverse weather effects, such as raindrops and snow.
format	Статья
author	Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р.
author_facet	Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р.
author_sort	Lyakhov, P. A.
title	New method for detecting and removing random-valued impulse noise from images
title_short	New method for detecting and removing random-valued impulse noise from images
title_full	New method for detecting and removing random-valued impulse noise from images
title_fullStr	New method for detecting and removing random-valued impulse noise from images
title_full_unstemmed	New method for detecting and removing random-valued impulse noise from images
title_sort	new method for detecting and removing random-valued impulse noise from images
publishDate	2023
url	https://dspace.ncfu.ru/handle/20.500.12258/23510
work_keys_str_mv	AT lyakhovpa newmethodfordetectingandremovingrandomvaluedimpulsenoisefromimages AT lâhovpa newmethodfordetectingandremovingrandomvaluedimpulsenoisefromimages AT orazaevar newmethodfordetectingandremovingrandomvaluedimpulsenoisefromimages AT orazaevar newmethodfordetectingandremovingrandomvaluedimpulsenoisefromimages
_version_	1842245435488468992

New method for detecting and removing random-valued impulse noise from images

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