ML Anthology

A Non-Local Algorithm for Image Denoising

Antoni Buades, Bartomeu Coll, Jean-Michel Morel
CVPR 2005 pp. 60-65
doi:10.1109/CVPR.2005.38 /cvpr/2005/buades2005cvpr-non/

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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Cite

Text

Buades et al. "A Non-Local Algorithm for Image Denoising." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.38

Markdown

[Buades et al. "A Non-Local Algorithm for Image Denoising." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/buades2005cvpr-non/) doi:10.1109/CVPR.2005.38

BibTeX

@inproceedings{buades2005cvpr-non,
  title     = {{A Non-Local Algorithm for Image Denoising}},
  author    = {Buades, Antoni and Coll, Bartomeu and Morel, Jean-Michel},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {60-65},
  doi       = {10.1109/CVPR.2005.38},
  url       = {https://mlanthology.org/cvpr/2005/buades2005cvpr-non/}
}