Noise Level Estimation from a Single Image

It can precisely estimate noise level from a single image.
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Mise à jour 3 fév. 2015

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Note de l’éditeur : This file was selected as MATLAB Central Pick of the Week

NoiseLevel estimates noise level of input single noisy image.
[nlevel th num] = NoiseLevel(img,patchsize,decim,conf,itr)
Output parameters
nlevel: estimated noise levels.
th: threshold to extract weak texture patches at the last iteration.
num: number of extracted weak texture patches at the last iteration.

The dimension output parameters is same to channels of the input image.
Input parameters
img: input single image
patchsize (optional): patch size (default: 7)
decim (optional): decimation factor. If you put large number, the calculation will be accelerated. (default: 0)
conf (optional): confidence interval to determin the threshold for the weak texture. In this algorithm, this value is usually set the value very close to one. (default: 0.99)
itr (optional): number of iteration. (default: 3)

img = double(imread('img.png'));
nlevel = NoiseLevel(img);

Web page: (

Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi
Noise Level Estimation Using Weak Textured Patches of a Single Noisy Image
IEEE International Conference on Image Processing (ICIP), 2012.

Xinhao Liu, Masayuki Tanaka and Masatoshi Okutomi,
Single-image Noise Level Estimation for Blind Denoising,
IEEE Transactions on Image Processing, Vol.22, No.12, pp.5226-5237, 2013.

Citation pour cette source

Masayuki Tanaka (2024). Noise Level Estimation from a Single Image (, MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2012a
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version

Added the functionality of generating the mask for the weak-texture.

Bug fixed.

Add new reference to description.

Debugged threshold calculation and change default parameter.

Debugged for zero-iteration case.

Added the web information.

Added help.