- Cut the part.
- Apply blurring to that part.
- Join the part back to the original image.
how could we identify the type of blur in an image?? first, how could we realize that a image is blurred or not???
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- how could we identify an image is blurred or not and the type of blur occured??
- if i create a blur to an image by fspecial(), can we see the matrix of psf??
- is it possible to simulate a blur only to a particular object(portion) in an image, if so how??
can someone help me with the code too for better understanding.
Thanks in advance.....
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Answers (1)
Harsh Parikh
on 30 Sep 2020
Hi Vimal,
You can identify the "blurriness" of the image and the parameters as well using a neural network based on multi-valued neurons as shown in the paper here which should answer the first two questions.
To blur a particular part of an image:
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Image Analyst
on 1 Oct 2020
Regarding your #2, look in the workspace panel to see the numbers in your psf matrix. To visualize it, do something like this:
psf = fspecial('gaussian', 41, 11)
subplot(2, 1, 1);
imshow(psf, [], 'InitialMagnification', 800);
axis('on', 'image');
subplot(2, 1, 2);
surf(psf);
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