- The output image J could exhibit ringing introduced by the discrete Fourier transform used in the algorithm. To reduce the ringing, use I = edgetaper(I,psf) before calling deconvwnr.
Regarding deconvoultion using a point-spread function
4 views (last 30 days)
Show older comments
Sebastian Daneli
on 17 Feb 2025
Commented: Sebastian Daneli
on 21 Feb 2025
I am deconvoluting an image with a simulated point-spread function (PSF), and the top pixels of my image obviously have their intensity decreased. The intensity of the top pixels should, in theory, be the highest. How do I adress this in a reasonable way?
load('data');
image2=deconvwnr(image1,PSF,0.5);
figure(), hold on
subplot(2,1,1), imagesc(image1), axis off, title('Original Image')
subplot(2,1,2), imagesc(image2), axis off, title('Deconvoluted Image')
2 Comments
Walter Roberson
on 17 Feb 2025
I notice the line in the documentation,
Perhaps you could try that?
Accepted Answer
Catalytic
on 18 Feb 2025
load('data');
tmp=[flipud(image1);image1];
tmp=deconvwnr(tmp,PSF,0.5);
image2=tmp(end/2+1:end,:);
figure(), hold on
subplot(2,1,1), imagesc(image1), axis off, title('Original Image')
subplot(2,1,2), imagesc(image2), axis off, title('Deconvoluted Image')
More Answers (0)
See Also
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!