I need to deconvolve a 2D grayscale image using this function: skimage.restoration.richardson_lucy
It requires a PSF image as mandatory parameter. How is it possible to estimate a 2D PSF image by means of Python?
Can anyone help me?
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1This website is for programming questions, and your question isn't about programming per se. A helpful keyword to search might be "blind deconvolution". The description of Richardson_Lucy says: The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering a latent image that has been blurred by a known point spread function. So you need a known PSF. – Gus Dec 03 '17 at 22:19
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Thanks @Gus. Actually, I computed the PSF using a specific software but it returns a single parameter (in voxels or vx) which represents the edge-blurring lenght between two different materials. I tried to used this parameter (which is roughly 6.5 vx) as an array for the richardson_lucy function but it's not working at all (since it is not a 2D array). I played with the code but it did not work anyway. See: https://stackoverflow.com/questions/47585871/psf-point-spread-function-for-an-image-2d I will also try to apply blind-deconvolution. Thanks again for the tip. – Sav Dec 03 '17 at 23:22
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You could in principle fit jointly/blindy for the PSF - active area of research - good luck..... :\ – jtlz2 Feb 11 '19 at 15:46