Noise filtering method in images in sparse-view covers

This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary. This paper presents a general approach to image restoration using sparse representa...

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Main Authors: Y.V. Goshin, D.V. Arkhipova
Format: Article
Language:English
Published: Samara National Research University 2024-06-01
Series:Компьютерная оптика
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Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO48-3/480314e.html
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author Y.V. Goshin
D.V. Arkhipova
author_facet Y.V. Goshin
D.V. Arkhipova
author_sort Y.V. Goshin
collection DOAJ
description This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary. This paper presents a general approach to image restoration using sparse representation and pre-prepared experimental results for a simple implementation of this convention.
format Article
id doaj-art-d5084ee8f989460e856ebfe66601e3cf
institution Kabale University
issn 0134-2452
2412-6179
language English
publishDate 2024-06-01
publisher Samara National Research University
record_format Article
series Компьютерная оптика
spelling doaj-art-d5084ee8f989460e856ebfe66601e3cf2025-02-06T12:39:30ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792024-06-0148343243810.18287/2412-6179-CO-1412Noise filtering method in images in sparse-view coversY.V. Goshin0D.V. Arkhipova1Samara National Research UniversitySamara National Research UniversityThis article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary. This paper presents a general approach to image restoration using sparse representation and pre-prepared experimental results for a simple implementation of this convention.https://www.computeroptics.ru/eng/KO/Annot/KO48-3/480314e.htmlsparse codingdenoising methods
spellingShingle Y.V. Goshin
D.V. Arkhipova
Noise filtering method in images in sparse-view covers
Компьютерная оптика
sparse coding
denoising methods
title Noise filtering method in images in sparse-view covers
title_full Noise filtering method in images in sparse-view covers
title_fullStr Noise filtering method in images in sparse-view covers
title_full_unstemmed Noise filtering method in images in sparse-view covers
title_short Noise filtering method in images in sparse-view covers
title_sort noise filtering method in images in sparse view covers
topic sparse coding
denoising methods
url https://www.computeroptics.ru/eng/KO/Annot/KO48-3/480314e.html
work_keys_str_mv AT yvgoshin noisefilteringmethodinimagesinsparseviewcovers
AT dvarkhipova noisefilteringmethodinimagesinsparseviewcovers