Next: Introduction
Prior Models and the Richardson-Lucy Restoration Method
R. Molina, J. Mateos, and J. Abad
Department of Computer Science, Faculty of Science,
University of Granada, 18071 Granada, Spain
Abstract:
Following the Bayesian paradigm for image restoration we show how
smoothness constraints can be incorporated into the R-L method. We
also examine different noise models and study their approximation
by Gaussian models that are robust to detector errors.
Keywords:
image restoration, Bayesian paradigm, R-L method, smoothness
constraints, detector errors