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A Non-Local Algorithm for Image Denoising

Antoni Buades; B. Coll; Jean‐Michel Morel · OpenAlex · 2005

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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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APA 7

Buades, A, Coll, B, & Morel, J. (2005). A Non-Local Algorithm for Image Denoising. https://doi.org/10.1109/cvpr.2005.38

MLA

Buades, Antoni, et al. "A Non-Local Algorithm for Image Denoising." 2005. https://doi.org/10.1109/cvpr.2005.38.

Chicago

Buades, Antoni, B. Coll, and Jean‐Michel Morel. 2005. "A Non-Local Algorithm for Image Denoising.". https://doi.org/10.1109/cvpr.2005.38.

Harvard

Buades, A, Coll, B. and Morel, J. 2005, A Non-Local Algorithm for Image Denoising, OpenAlex, available at: https://doi.org/10.1109/cvpr.2005.38 [Accessed 7 Aug. 2026].

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Title
A Non-Local Algorithm for Image Denoising
Author / contributors
Antoni Buades; B. Coll; Jean‐Michel Morel
Publisher
OpenAlex
Publication year
2005
Language
English

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