Fuzzy-nonlocal-means-filter
所属分类：matlab编程
开发工具：matlab
文件大小：434KB
下载次数：37
上传日期：2016-10-02 10:02:23
上 传 者：
奎辰
说明： 伍健博士的论文模糊非局部去噪方法用于去除随机值脉冲噪声，主要引用模糊函数度量像素疑似噪声程度。
(The noise non-local noise removal method is used to remove the impulse noise of random value, and the fuzzy function is used to measure the suspected noise level.)
文件列表:
algorithm\addBorder.m (1357, 2012-02-22)
algorithm\FWNLM.m (3016, 2012-02-22)
algorithm\impulsenoise.m (629, 2012-02-22)
algorithm\lena.bmp (263222, 2009-11-02)
algorithm\lena_i_0.4.bmp (263222, 2010-12-24)
algorithm\minusBorder.m (925, 2012-02-22)
algorithm\mPSNR.m (462, 2012-02-22)
algorithm (0, 2015-09-16)
(1)Related paper:
Random-valued impulse noise removal using fuzzy weighted non-local means
(2)Main function is FWNLM. The usage of the algorithm is simple. For details, please see the "FWNLM.m" file.
(3)The functions "addBorder.m" and "minusBorder.m" are ancillary to the main functions.
(4)To simulate a noisy image corrupted by random-valued impulse noise, please see the "impulsenoise.m".
(5)All the experiments are tested on the MATLAB R2009a and R2011b, using 8-bit grayscale images in BMP format, seeing the "experimental images" folder. The PSNR is calculated by "mPSNR.m".
(6)Example:
The Fig.2(g) in the paper can be obtained by
L=imread('Lena.bmp');
I=FWNLM('Lena_i_0.4.bmp',380,120,6);
mPSNR(L,I)
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