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… (More)
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Topic mentions per year

Topic mentions per year

2008-2018
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Papers overview

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2016
2016
Non-local means filtering (NLM), has garnered a large amount of interest in the image processing community due to its capability… (More)
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2015
2015
Non-local means (NLM) are typically biased by the accumulation of small weights associated with dissimilar patches, especially at… (More)
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2015
2015
Speckle reduction in Synthetic Aperture Radar (SAR) images is an essential pre-processing step for a correct analysis and… (More)
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2015
2015
Noise artifacts in magnetic resonance (MR) images increase the complexity of image processing workflows and decrease the… (More)
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2014
2014
Non-local means (NLM) noise reduction is effective yet computationally intensive, since each output pixel is a weighted average… (More)
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2012
2012
Non-local means (NL-means) filter removes independent and identically distributed (i.i.d.) image noises using self-similarity. In… (More)
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2012
2012
Non-local means algorithm is one of the powerful image denoising methods. Maintaining noise near edges and textural parts of a… (More)
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Highly Cited
2010
Highly Cited
2010
Non-local means (NLM) provides a very efficient procedure to denoise digital images. We study the influence of two important… (More)
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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… (More)
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2009
2009
Due to the rapid increase in use of CT imaging and the recently-heightened awareness of radiation-induced cancer, improving the… (More)
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