Generalized cross-validation as a stopping rule for the Richardson-Lucy algorithm

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.

DOI: 10.1002/ima.1850060412

Extracted Key Phrases

3 Figures and Tables

Cite this paper

@article{Reeves1995GeneralizedCA, title={Generalized cross-validation as a stopping rule for the Richardson-Lucy algorithm}, author={Stanley J. Reeves}, journal={Int. J. Imaging Systems and Technology}, year={1995}, volume={6}, pages={387-391} }