A. Buades, B. Coll, and J. Morel. Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02, page 60--65. Washington, DC, USA, IEEE Computer Society, (2005)
DOI: 10.1109/CVPR.2005.38
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.
%0 Conference Paper
%1 Buades:2005:NAI:1068508.1069066
%A Buades, Antoni
%A Coll, Bartomeu
%A Morel, Jean-Michel
%B Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
%C Washington, DC, USA
%D 2005
%I IEEE Computer Society
%K filtering image_processing noise
%P 60--65
%R 10.1109/CVPR.2005.38
%T A Non-Local Algorithm for Image Denoising
%U http://dx.doi.org/10.1109/CVPR.2005.38
%X 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.
%@ 0-7695-2372-2
@inproceedings{Buades:2005:NAI:1068508.1069066,
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.},
acmid = {1069066},
added-at = {2014-09-12T15:34:41.000+0200},
address = {Washington, DC, USA},
author = {Buades, Antoni and Coll, Bartomeu and Morel, Jean-Michel},
biburl = {https://www.bibsonomy.org/bibtex/2d9b36ec68f9e074500414f309556d7a2/alex_ruff},
booktitle = {Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02},
description = {A Non-Local Algorithm for Image Denoising},
doi = {10.1109/CVPR.2005.38},
interhash = {aa4f8c97433da335911abb4715ccce92},
intrahash = {d9b36ec68f9e074500414f309556d7a2},
isbn = {0-7695-2372-2},
keywords = {filtering image_processing noise},
numpages = {6},
pages = {60--65},
publisher = {IEEE Computer Society},
series = {CVPR '05},
timestamp = {2014-09-12T15:34:41.000+0200},
title = {A Non-Local Algorithm for Image Denoising},
url = {http://dx.doi.org/10.1109/CVPR.2005.38},
year = 2005
}