Noise Level Estimation from a Single Image
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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)
Example:
img = double(imread('img.png'));
nlevel = NoiseLevel(img);
Web page:
http://bit.ly/NLest (http://www.ok.ctrl.titech.ac.jp/res/NLE/noise_level.html)
Reference:
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.
Zitieren als
Masayuki Tanaka (2024). Noise Level Estimation from a Single Image (https://www.mathworks.com/matlabcentral/fileexchange/36921-noise-level-estimation-from-a-single-image), MATLAB Central File Exchange. Abgerufen.
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Region and Image Properties >
Tags
Quellenangaben
Inspiriert: BiofilmQ, Natural Image Noise Level Estimation Based on Flat Patches and Local Statistics, Fast Noise Estimation in Images, Signal Dependent Noise Level Estimation, Noise Level Estimation
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Version | Veröffentlicht | Versionshinweise | |
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1.8.0.0 | Added the functionality of generating the mask for the weak-texture. |
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1.7.0.0 | Bug fixed. |
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1.6.0.0 | Add new reference to description. |
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1.5.0.0 | Debugged threshold calculation and change default parameter. |
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1.4.0.0 | Debugged for zero-iteration case. |
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1.3.0.0 | Added the web information. |
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1.1.0.0 | Added help. |
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1.0.0.0 |