Estimate PSF from blurred and unblurred images.
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David
el 11 de Sept. de 2012
Comentada: pb
el 28 de Ag. de 2020
I have a blurred image and I want to estimate the Point Spread Function (PSF) that blurred the image. I also have a sharp un-blurred image. I don't need to de-blur the blurred image, I just need the PSF.
Can anyone suggest a function or other method that makes use of the blurred and the sharp image to estimate the PSF?
I've experimented a lot with Matlab's blind deconvolution function as well as a few others like those by Fergus et al. and Prateek Garg, and these do estimate the PSF from the blurred image. But I keep thinking there must be a better way that makes use of the sharp image and perhaps improves performance?
Thank you
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Dan
el 12 de En. de 2016
this page may also help out : http://www.mathworks.com/help/matlab/math/systems-of-linear-equations.html#brzoiix scroll down to : Iterative Methods for Solving Systems of Linear Equations
Jihang Wang
el 2 de Jul. de 2019
Dan, what if I don't know the size of the psf but want to estimate both the size and kernel values?
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Image Analyst
el 11 de Sept. de 2012
What do the theories tell you?
blurredImage = originalImage * * psf (Convolution)
In the Fourier domain:
blurredImageFT = originalImageFT * psfFT (Multiplication)
so
psfFT = blurredImageFT / originalImageFT
psf = inverseFT(blurredImageFT / originalImageFT)
It's essentially the inverse filter except that you're finding the psf instead of the original image. So code that up and see what happens.
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