Non-Local Means Denoising
We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Image Processing On Line
2011-09-01
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Series: | Image Processing On Line |
Online Access: | http://www.ipol.im/pub/art/2011/bcm_nlm/ |
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author | Antoni Buades Bartomeu Coll Jean-Michel Morel |
author_facet | Antoni Buades Bartomeu Coll Jean-Michel Morel |
author_sort | Antoni Buades |
collection | DOAJ |
description | We present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to scan a vast portion of the image in search of all the pixels that really resemble the pixel one wants to denoise. The paper presents two implementations of the method and displays some results. |
first_indexed | 2024-12-11T12:31:51Z |
format | Article |
id | doaj.art-cbeef0f12cb548049adbe85cc697dd03 |
institution | Directory Open Access Journal |
issn | 2105-1232 |
language | English |
last_indexed | 2024-12-11T12:31:51Z |
publishDate | 2011-09-01 |
publisher | Image Processing On Line |
record_format | Article |
series | Image Processing On Line |
spelling | doaj.art-cbeef0f12cb548049adbe85cc697dd032022-12-22T01:07:14ZengImage Processing On LineImage Processing On Line2105-12322011-09-01120821210.5201/ipol.2011.bcm_nlmNon-Local Means DenoisingAntoni BuadesBartomeu CollJean-Michel MorelWe present in this paper a new denoising method called non-local means. The method is based on a simple principle: replacing the color of a pixel with an average of the colors of similar pixels. But the most similar pixels to a given pixel have no reason to be close at all. It is therefore licit to scan a vast portion of the image in search of all the pixels that really resemble the pixel one wants to denoise. The paper presents two implementations of the method and displays some results.http://www.ipol.im/pub/art/2011/bcm_nlm/ |
spellingShingle | Antoni Buades Bartomeu Coll Jean-Michel Morel Non-Local Means Denoising Image Processing On Line |
title | Non-Local Means Denoising |
title_full | Non-Local Means Denoising |
title_fullStr | Non-Local Means Denoising |
title_full_unstemmed | Non-Local Means Denoising |
title_short | Non-Local Means Denoising |
title_sort | non local means denoising |
url | http://www.ipol.im/pub/art/2011/bcm_nlm/ |
work_keys_str_mv | AT antonibuades nonlocalmeansdenoising AT bartomeucoll nonlocalmeansdenoising AT jeanmichelmorel nonlocalmeansdenoising |