A non-local algorithm for image denoising

A. BUADES; B. COLL; J.-M. MOREL

doi:10.1109/CVPR.2005.38

A non-local algorithm for image denoising

A. BUADES^*
, B. COLL
, J.-M. MOREL

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

7513 Citations (Scopus)

Abstract

We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the non local means (NL-means), based on a non local averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.

Original language	English
Title of host publication	Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005
Publisher	IEEE
Pages	60-65
Number of pages	6
Volume	2
ISBN (Print)	0769523722, 9780769523729
DOIs	https://doi.org/10.1109/CVPR.2005.38
Publication status	Published - 2005
Externally published	Yes

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10.1109/CVPR.2005.38

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title = "A non-local algorithm for image denoising",

abstract = "We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the non local means (NL-means), based on a non local averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.",

author = "A. BUADES and B. COLL and J.-M. MOREL",

year = "2005",

doi = "10.1109/CVPR.2005.38",

language = "English",

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AU - BUADES, A.

AU - COLL, B.

AU - MOREL, J.-M.

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Y1 - 2005

N2 - We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the non local means (NL-means), based on a non local averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.

AB - We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the non local means (NL-means), based on a non local averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.

UR - https://www.scopus.com/pages/publications/24644478715

U2 - 10.1109/CVPR.2005.38

DO - 10.1109/CVPR.2005.38

M3 - Conference paper (refereed)

AN - SCOPUS:24644478715

SN - 0769523722

SN - 9780769523729

VL - 2

SP - 60

EP - 65

BT - Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

PB - IEEE

ER -

A non-local algorithm for image denoising

Abstract

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