Would Richardson–Lucy deconvolution work for recovering the latent kernel?
问题 I am aware that Richardson–Lucy deconvolution is for recovering the latent image, but suppose we have a noisy image and the original image. Can we find the kernel that caused the transformation? Below is a MATLAB code for Richardson-Lucy deconvolution and I am wondering if it is easy to modify and make it recover the kernel instead of the latent image . My thoughts are that we change the convolution options to valid so the output would represent the kernel, what do you think? function latent