Next: Introduction
Generalized Cross-Validation as a Stopping
Rule for the Richardson-Lucy Algorithm
Kevin M. Perry and Stanley J. Reeves
Department of Electrical Engineering,
Auburn University, Auburn, AL 36849-5201
Abstract:
This paper presents a criterion for stopping non-linear iterative algorithms,
specifically the Richardson-Lucy algorithm that is widely used to restore
images from the Hubble Space Telescope. The criterion is based on generalized
cross-validation and is also computed iteratively.
We will present examples displaying the power of the stopping rule, and will
discuss the abilities and shortcomings of this method.
We also present a caveat about the method.