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Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images

The article proposes a method for cleaning impulse noise from random pixel intensity and location on images. The proposed method is based on a bilateral and median filter for impulse detection and noise removal. The experimental part showed that the proposed filter makes it possible to clean this ty...

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Hauptverfasser: Lyakhov, P. A., Ляхов, П. А., Orazaev, A. R., Оразаев, А. Р., Baboshina, V. A., Бабошина, В. А.
Format: Статья
Sprache:English
Veröffentlicht: Institute of Electrical and Electronics Engineers Inc. 2022
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Online Zugang:https://dspace.ncfu.ru/handle/20.500.12258/21552
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spelling ir-20.500.12258-215522022-10-28T13:42:07Z Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images Lyakhov, P. A. Ляхов, П. А. Orazaev, A. R. Оразаев, А. Р. Baboshina, V. A. Бабошина, В. А. Adaptive median filter Bilateral filter Impulse noise Noise detection The article proposes a method for cleaning impulse noise from random pixel intensity and location on images. The proposed method is based on a bilateral and median filter for impulse detection and noise removal. The experimental part showed that the proposed filter makes it possible to clean this type of noise with high efficiency. The method's effectiveness is especially noticeable at the high intensity of this type of impulse noise. The obtained results can be applied to various digital image processing tasks, such as medical image analysis and satellite image processing. 2022-10-28T13:41:15Z 2022-10-28T13:41:15Z 2022 Статья Lyakhov, P.A., Voznesensky, A.S., Shalugin, E.D., Orazaev, A.R., Baboshina, V.A. Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images // 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022. - 2022. - DOI10.1109/MECO55406.2022.9797149 http://hdl.handle.net/20.500.12258/21552 en 2022 11th Mediterranean Conference on Embedded Computing, MECO 2022 application/pdf Institute of Electrical and Electronics Engineers Inc.
institution СКФУ
collection Репозиторий
language English
topic Adaptive median filter
Bilateral filter
Impulse noise
Noise detection
spellingShingle Adaptive median filter
Bilateral filter
Impulse noise
Noise detection
Lyakhov, P. A.
Ляхов, П. А.
Orazaev, A. R.
Оразаев, А. Р.
Baboshina, V. A.
Бабошина, В. А.
Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
description The article proposes a method for cleaning impulse noise from random pixel intensity and location on images. The proposed method is based on a bilateral and median filter for impulse detection and noise removal. The experimental part showed that the proposed filter makes it possible to clean this type of noise with high efficiency. The method's effectiveness is especially noticeable at the high intensity of this type of impulse noise. The obtained results can be applied to various digital image processing tasks, such as medical image analysis and satellite image processing.
format Статья
author Lyakhov, P. A.
Ляхов, П. А.
Orazaev, A. R.
Оразаев, А. Р.
Baboshina, V. A.
Бабошина, В. А.
author_facet Lyakhov, P. A.
Ляхов, П. А.
Orazaev, A. R.
Оразаев, А. Р.
Baboshina, V. A.
Бабошина, В. А.
author_sort Lyakhov, P. A.
title Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
title_short Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
title_full Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
title_fullStr Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
title_full_unstemmed Bilateral and Median Filter Combination for High-Quality Cleaning of Random Impulse Noise in Images
title_sort bilateral and median filter combination for high-quality cleaning of random impulse noise in images
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2022
url https://dspace.ncfu.ru/handle/20.500.12258/21552
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