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Non-Local Means Filter

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29 Nov 2006 (Updated )

Non-Local Means Filter for image denoising

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Description

Implementation of the Non-Local Means Filter proposed by Buades et al. for robust image denoising.

typical usage:

fima=nlmeans(ima,5,2,sigma);

being sigma the noise standard deviation

MATLAB release MATLAB 7.0.1 (R14SP1)
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Comments and Ratings (27)
27 Sep 2013 John

I believe there is a bug in this code. If you change the line in demo.m, to display the error between the filtered and original images, i.e. from:

subplot(2,2,4),imagesc(rima-fima),title('residuals');

to

subplot(2,2,4),imagesc(ima-fima),title('residuals');

There is a clear bias/issue with the lower left hand quadrant edges, but not with the upper right hand quadrant edges.

05 Jul 2013 Vikram Venkatraghavan  
25 Apr 2013 selma

thanks for helping us

21 Mar 2013 Prabhakar

Suggest me how to give external image by applying this code

07 Mar 2012 sadaiyandi

max(a,b)
what is the return type its array or int value i am getting trouble when i am implementing in java

10 Jul 2011 Zhang Xuande

cool!!

05 Dec 2010 YoonOh Tak

Is this line right?

fima=NLmeansfilter(ima,5,2,sigma);

I think it has to change like below

fima=NLmeansfilter(rima,5,2,sigma);

09 Oct 2010 priyanka reddy

i have the same doubt what crisitna asked. can you help me. can u send me the modified codings

08 Oct 2010 Royi Avital

Hello.
You mention to have the "Original" version which is slower yet easier to understand,
Where can I find it?
Thanks.

08 Dec 2009 Tai Fei

Hi, Jose, I have 2 questions on the kernel.
1). Is it gaussian kernel which is mentioned in the paper of Buades. As far as i know, the one in your code is not gaussian.
2). why you take these two steps ?
average = average + wmax*input2(i1,j1);
sweight = sweight + wmax;

I cannot find any ground in the original paper, but it does make my algorithm oscillate less. could you give me some idea, why you make them ?

24 Nov 2009 Victor Lee

Hi Jose, you've mention of the bug earlier on but I can't seem to find it. Is it rectified and updated?

24 Nov 2009 Abhishek Bansal

how to calculate sigma, h and f? I am confused. I am a student, need urgent help. u can also email me at abhishek85bansal@gmail.com

15 Oct 2009 Haoheng Zheng

Good, but few notation...

05 Aug 2009 Vijay

Performance of the algorithm will depend on the sigma estimation in noisy image. How to estimate good sigma?

17 Apr 2009 cristina

I must define input,f,t,h...I'm not sure that I know how!
Can you help me please?I'm a beginer in matlab...thank you!

17 Apr 2009 cristina

I have a little error here [m n]=size(input); in NLmeansfilter.m:

> NLmeansfilter
??? Input argument 'input' is undefined.

Error in ==> C:\Documents and Settings\Iulia\Desktop\matlab\NLmeansfilter.m
On line 19 ==> [m n]=size(input);

I need help...Thanks!

22 Sep 2008 Jose Manjon

You are right Bi Yiming.

Sorry about that.

Jose

01 Sep 2008 Bi Yiming

i think it should be
fima=NLmeansfilter(rima,5,2,sigma);
not fima=NLmeansfilter(ima,5,2,sigma);
in demo.m

31 Jul 2008 Kevin Verghese

d = sum(sum(kernel.*(W1-W2).*(W1-W2)));
This line throws an error.
"Error using ==> times
Integers can only be combined with integers of the same class, or scalar doubles."
How do we rectify that?

31 Jul 2008 Jose Manjon

You have to use sigma, not 10*sigma

being signa the image noise standard deviation

Jose

14 Jul 2008 Roger Ting

How to set the sigma for the algorithm.I chose 10*noisesigma, the result is very bad.

28 Nov 2007 Reza Farrahi Moghaddam

Good Work,

Only, please change the word "radio" to "size" (in the definitions of "t" and "f")

Thanks

13 Aug 2007 victor diaz  
16 Jul 2007 Jose Manjon

The original code was not optimized to easily understand the filter caracteristics. Now, I have already vectorized it to speed up the filter. New version is much faster but if you plan to use it rutinarily I suggest you to mex it.

13 Jan 2007 Peter L

It is really slow. You need to vectorize it.

12 Dec 2006 Jose Manjon

There is a small bug in the code, please
chage:

k=max(abs(i),abs(j));

for

k=max([abs(i),abs(j),1]);

enjoy the filter

Jose Manjon

02 Dec 2006 James Chan

cool

Updates
27 Apr 2007

I have vectorized it to speed up the filter

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