Removing Noise From an image in MATLAB

Question

Chethan 2013-8-1

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/83713-removing-noise-from-an-image-in-matlab

评论： Image Analyst 2020-11-26

I'm using Geometric mean filter to remove noise instead of median filter as image quality goes off in former case. code shown below is a part of m-file to remove noise.

    fname = getappdata(0, 'fname');
    [a, map] = imread(fname);
    x = ind2rgb(a, map);
    b = im2double(x);
    w=fspecial('gaussian',[3,3]);
    geom=exp(imfilter(log(b),ones(3,3),'replicate')).^(1/3/3);
    fname=imfilter(b,w,'replicate');
    axes(handles.axes1);
    imshow(fname);

If i press push button which is named 'Remove Noise' above code get executed irrespective of image quality/property. In the sense even if no noise is present, image will be subjected to filter.

My question, is there any way to detect whether noise is present or not, so that the moment i pressed push button if no Noise in image it should display a message stating 'NO NOISE TO REMOVE' automatically.

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Answer 1

Image Analyst 2013-8-1

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Any set of pixels could be all noise or no noise or something in between. There is no way to know unless you define what you consider to be noise. What is your definition?

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Answer 2

Jarin Tasnim 2020-11-26

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https://ww2.mathworks.cn/matlabcentral/answers/83713-removing-noise-from-an-image-in-matlab#answer_556813

fname = getappdata(0, 'fname');

[a, map] = imread(fname);

x = ind2rgb(a, map);

b = im2double(x);

w=fspecial('gaussian',[3,3]);

geom=exp(imfilter(log(b),ones(3,3),'replicate')).^(1/3/3);

fname=imfilter(b,w,'replicate');

axes(handles.axes1);

imshow(fname);

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Image Analyst 2020-11-26

This just removes details (noise, edges, whatever) from the image. And it looks identical to his original code. How does this answer the question:

"My question, is there any way to detect whether noise is present or not, so that the moment i pressed push button if no Noise in image it should display a message stating 'NO NOISE TO REMOVE' automatically."

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