Image denoising by non-local averaging

Antoni BUADES; Bartomeu COLL; Jean Michel MOREL

doi:10.1109/ICASSP.2005.1415332

Image denoising by non-local averaging

Antoni BUADES^*, Bartomeu COLL, Jean Michel MOREL

^*Corresponding author for this work

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

71 Citations (Scopus)

Abstract

In this work, we present and analyze an image denoising method, the NL-means algorithm, based on a non local averaging of all pixels in the image. We also introduce the concept of method noise, that is, the difference between the original (always slightly noisy) digital image and its denoised version. Finally we present some experiences comparing the NL-means results with some classical denoising methods. © 2005 IEEE.

Original language	English
Title of host publication	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings
Publisher	IEEE
Pages	25-28
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/ICASSP.2005.1415332
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing - Philadelphia, United States Duration: 18 Mar 2005 → 23 Mar 2005

Conference

Conference	2005 IEEE International Conference on Acoustics, Speech, and Signal Processing
Abbreviated title	ICASSP 2005
Country/Territory	United States
City	Philadelphia
Period	18/03/05 → 23/03/05

Funding

Antoni Buades is supported by a fellowship of the Govern Illes Balears. Bartomeu Coll is partially supported by CICYT project, ref. TIC2002-02172. Jean Michel Morel is partially supported by ONR grant N00014-97-1-0839, CNES, DGA.

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10.1109/ICASSP.2005.1415332

Cite this

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title = "Image denoising by non-local averaging",

abstract = "In this work, we present and analyze an image denoising method, the NL-means algorithm, based on a non local averaging of all pixels in the image. We also introduce the concept of method noise, that is, the difference between the original (always slightly noisy) digital image and its denoised version. Finally we present some experiences comparing the NL-means results with some classical denoising methods. {\textcopyright} 2005 IEEE.",

author = "Antoni BUADES and Bartomeu COLL and MOREL, \{Jean Michel\}",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ICASSP.2005.1415332",

language = "English",

volume = "2",

pages = "25--28",

booktitle = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings",

publisher = "IEEE",

note = "2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2005 ; Conference date: 18-03-2005 Through 23-03-2005",

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BUADES, A, COLL, B & MOREL, JM 2005, Image denoising by non-local averaging. in 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. vol. 2, 1415332, IEEE, pp. 25-28, 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, Pennsylvania, United States, 18/03/05. https://doi.org/10.1109/ICASSP.2005.1415332

TY - GEN

T1 - Image denoising by non-local averaging

AU - BUADES, Antoni

AU - COLL, Bartomeu

AU - MOREL, Jean Michel

PY - 2005/12/1

Y1 - 2005/12/1

N2 - In this work, we present and analyze an image denoising method, the NL-means algorithm, based on a non local averaging of all pixels in the image. We also introduce the concept of method noise, that is, the difference between the original (always slightly noisy) digital image and its denoised version. Finally we present some experiences comparing the NL-means results with some classical denoising methods. © 2005 IEEE.

AB - In this work, we present and analyze an image denoising method, the NL-means algorithm, based on a non local averaging of all pixels in the image. We also introduce the concept of method noise, that is, the difference between the original (always slightly noisy) digital image and its denoised version. Finally we present some experiences comparing the NL-means results with some classical denoising methods. © 2005 IEEE.

UR - https://www.scopus.com/pages/publications/33646762145

U2 - 10.1109/ICASSP.2005.1415332

DO - 10.1109/ICASSP.2005.1415332

M3 - Conference paper (refereed)

AN - SCOPUS:33646762145

VL - 2

SP - 25

EP - 28

BT - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings

PB - IEEE

T2 - 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 18 March 2005 through 23 March 2005

ER -

Image denoising by non-local averaging

Abstract

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