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 nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.
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Our proposed non-local operation is a generalization of the classical non-local mean operation.
“Our proposed non-local operation is a generalization of the classical non-local mean operation [4] in computer vision.”
From Non-local Neural Networks (2018) · cites this paper as [4]
Non-local means and BM3D denoiser priors may over-smooth irregular structures if the image does not exhibit self-similarity.
“non-local means and BM3D denoiser priors may over-smooth the irregular structures if the image does not exhibit self-similarity property.”
From Learning Deep CNN Denoiser Prior for Image Restoration (2017) · cites this paper as [7]
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References 17 · Cited by 7,616
- Authors
- Buades, A., Coll, B., & Morel, J.-M.
- Affiliations
- Universitat de les Illes Balears (ES)
- École Normale Supérieure Paris-Saclay (FR)
- Venue
- 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)
- Publisher
- IEEE
- Published
- 2005-07-27
- Volume
- 2
- Pages
- 60-65
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2097073572
- Cited by
- 7,616
- References
- 17
- Citations by year
- 2026: 256 · 2025: 434 · 2024: 473 · 2023: 544 · 2022: 588 · 2021: 702 · 2020: 626 · 2019: 628 · 2018: 579 · 2017: 501 · 2016: 452 · 2015: 415 · 2014: 372 · 2013: 315 · 2012: 234
- FWCI
- 25.74
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Enhancement Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image Processing Techniques
- Keywords
- image denoising, non-local means, image restoration
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