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KNLMeansCL

An optimized OpenCL implementation of the Non-local means de-noising algorithm

Install / Use

/learn @Khanattila/KNLMeansCL
About this skill

Quality Score

0/100

Supported Platforms

Zed

README

KNLMeansCL

GitHub release

KNLMeansCL is an optimized OpenCL implementation of the Non-local means de-noising algorithm. The NLMeans filter, originally proposed by Buades et al., is a very popular filter for the removal of white Gaussian noise, due to its simplicity and excellent performance. The strength of this algorithm is to exploit the repetitive character of the image in order to de-noise the image unlike conventional de-noising algorithms, which typically operate in a local neighbourhood.

For end user KNLMeansCL is a plugin for AviSynth, AviSynth+ and for VapourSynth. Windows, OS X and Linux are supported. Read more on the Wiki and support on the Doom9 forum.

KNLMeansCL is available under the GNU GPL v3 license.

Related Skills

View on GitHub
GitHub Stars114
CategoryDevelopment
Updated1mo ago
Forks25

Languages

C++

Security Score

100/100

Audited on Feb 25, 2026

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