Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm

@article{Lebrun2013ImplementationOT,
  title={Implementation of the "Non-Local Bayes" (NL-Bayes) Image Denoising Algorithm},
  author={Marc Lebrun and Antoni Buades and Jean-Michel Morel},
  journal={IPOL Journal},
  year={2013},
  volume={3},
  pages={1-42}
}
This article presents a detailed implementation of the Non-Local Bayes (NL-Bayes) image denoising algorithm. In a nutshell, NL-Bayes is an improved variant of NL-means. In the NLmeans algorithm, each patch is replaced by a weighted mean of the most similar patches present in a neighborhood. Images being mostly self-similar, such instances of similar patches are generally found, and averaging them increases the SNR. The NL-Bayes strategy improves on NL-means by evaluating for each group of… CONTINUE READING
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