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Non-local means

Known as: Non-local means filter 
Non-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time. In this paper, we… Expand
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Highly Cited
2013
Highly Cited
2013
In this letter, we propose a so-called probabilistic non-local means (PNLM) method for image denoising. Our main contributions… Expand
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Highly Cited
2012
Highly Cited
2012
We propose a novel approach for image space adaptive sampling and filtering in Monte Carlo rendering. We use an iterative scheme… Expand
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Highly Cited
2011
Highly Cited
2011
In any digital image, the measurement of the three observed color values at each pixel is subject to some perturbations. These… Expand
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Highly Cited
2011
Highly Cited
2011
We propose in this paper an extension of the Non-Local Means (NL-Means) denoising algorithm. The idea is to replace the usual… Expand
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Highly Cited
2010
Highly Cited
2010
  • Joseph Salmon
  • IEEE Signal Processing Letters
  • 2010
  • Corpus ID: 16957521
Non-local means (NLM) provides a very efficient procedure to denoise digital images. We study the influence of two important… Expand
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Highly Cited
2009
Highly Cited
2009
We propose in this paper to unify two different approaches to image restoration: On the one hand, learning a basis set… Expand
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Highly Cited
2009
Highly Cited
2009
Non-local means (NLM) provides a powerful framework for denoising. However, there are a few parameters of the algorithm-most… Expand
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Highly Cited
2008
Highly Cited
2008
In the paper, we propose a robust and fast image denoising method. The approach integrates both Non-Local means algorithm and… Expand
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Highly Cited
2007
Highly Cited
2007
Partial Differential equations (PDE), wavelets-based methods and neighborhood filters were proposed as locally adaptive machines… Expand
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