This is an archive of the old MediaWiki-based ImageJ wiki. The current website can be found at imagej.net.

Non Local Means Denoise

Non Local Means Denoise (ImageJ/Fiji)
Author Pascal Behnel, Thorsten Wagner
Maintainer Thorsten Wagner
File ij_nl_means.jar [1]
Source GitHub [2]
Latest version v1.4.6 (13 March 2016)
Development status maintaining
Category Category:Plugins


Purpose

This is an ImageJ plugin for denosing images via the non-local-means algorithm descriped in

Antoni Buades, Bartomeu Coll, and Jean-Michel Morel, Non-Local Means Denoising, Image Processing On Line, vol. 2011.

including the changes proposed by

Darbon, J. et al., 2008. Fast nonlocal filtering applied to electron cryomicroscopy. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. IEEE, pp. 1331–1334.

It is numerically optimized and multithreaded. It works with all image types (RGB, 32 Bit, 16 Bit, 8 Bit).

This plugin was developed within the scope of a study work of Pascal Behnel and is maintained by Thorsten Wagner (Both are members of the Biomedical Imaging Group).

Settings

Sigma: The sigma of the noise.

Smoothing factor: In most cases, the default value (1) should not be changed. However, sometimes a more smoothed image is desired which can be achieved by selecting values > 1.

Auto estimate sigma: If this option is selected, the sigma is automatically estimated by the method descriped in Immerkaer, J., 1996. Fast noise variance estimation. Computer Vision and Image Understanding.

Both, the value for the (estimated) sigma and the smoothing factor are saved in the imagej preferences and are accessible with the keys "nlmean.sigma" / "nlmeans.smoothingfactor".

Example

The left image shows a noisy (sigma=25) image of lena and right image the denoised version using the non local means plugin: Lena-noise-25.png Lena-denoised.png

Installation

You could simply use our update site "biomedgroup" to install the non local means plugin or copy the jar file into your plugins folder.

How to cite

We think the best way is to cite the formal method and the used implementation:

Method:

Antoni Buades, Bartomeu Coll, and Jean-Michel Morel, Non-Local Means Denoising, Image Processing On Line, vol. 2011.

and

Darbon, J. et al., 2008. Fast nonlocal filtering applied to electron cryomicroscopy. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. IEEE, pp. 1331–1334.

Implementation:

Zenodo.35114.svg