文件名称:huazi
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- 上传时间:2015-05-03
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两个代码一个是demo, demo是它的小样例子, 另外一个是它的源代码.
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This is the matlab implementation of following noise level estimation:
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.
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Copyright (C) 2012 Masayuki Tanaka. All rights reserved.
mtanaka@ctrl.titech.ac.jp
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Contents
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* NoiseLevel.m
The main code of the noise level estimation.
You can show the descr iption by
> help NoiseLevel
demo.m also includes simple usage.
This algorithm is implemented with only single m file.
* demo.m
Demonstration example.
* lena.png
Sample image.
* README.txt
This file.
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Note
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We used the maximum eigenvalue of the gradient covariance matrix
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This is the matlab implementation of following noise level estimation:
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.
-
Copyright (C) 2012 Masayuki Tanaka. All rights reserved.
mtanaka@ctrl.titech.ac.jp
-
Contents
-
* NoiseLevel.m
The main code of the noise level estimation.
You can show the descr iption by
> help NoiseLevel
demo.m also includes simple usage.
This algorithm is implemented with only single m file.
* demo.m
Demonstration example.
* lena.png
Sample image.
* README.txt
This file.
-
Note
-
We used the maximum eigenvalue of the gradient covariance matrix
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下载文件列表
huazi/NoiseLevel.m
huazi/README.txt
huazi/demo.m
huazi/
huazi/README.txt
huazi/demo.m
huazi/
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