Hello, I'm trying to understand the Richardson-Lucy deconvolution algorithm, primarily from the description here: http://en.wikipedia.org/wiki/Richardson-Lucy_deconvolution In this notation, u_i is a pixel in the latent image(unknown), c_i the corresponding pixel in the observed image, and p_{i, j} is the point-spread-function, i.e. the fraction of the pixel at j observed at i. This is an iterative scheme, so an estimate for u is updated in every iteration. There are some things not entirely clear to me: 1) What should be the initial value for the latent image U ? 2) How does one detect convergence ? Any help would be much appreciated! F. Beekhof
Richardson-Lucy deconvolution ?
Started by ●February 25, 2008