I would like to deconvolve a 2D image with a point spread function (PSF). I\'ve seen there is a scipy.signal.deconvolve
function that works for one-dimensional arra
Note that deconvolving by division in the fourier domain isn't really useful for anything but demonstration purposes; any kind of noise, even numerical, may render your outcome completely unusable. One may regularize the noise in various ways; but in my experience, an RL iteration is easier to implement, and in many ways more physically justifiable.