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HST Image Restoration with Variable Resolution

Next: Introduction

HST Image Restoration with Variable Resolution

Jorge Núñez

Departament d'Astronomia i Meteorologia, Universitat de Barcelona, Av. Diagonal 647, E-08028 Barcelona, and Observatorio Fabra, Barcelona, Spain

Jorge Llacer

Engineering Division, Lawrence Berkeley Laboratory, University of California, Berkeley, CA 94720

Abstract:

Bayesian and maximum entropy algorithms that use a constant balancing parameter present large residuals in the low or the high S/N regions depending on the value chosen for the parameter. We present the development of a variant of the Bayesian algorithm with entropy prior (called FMAPE) that uses a balancing parameter that is variant in space. This variation of the balancing parameter implies a variable resolution in the restoration, allowing high resolution with low bias in high S/N regions and a lower resolution with lower artifacts in poor S/N regions. We have applied the algorithm to the FOC and WF/PC cameras of the HST.

Keywords: Image Restoration, Bayesian Algorithms, Maximum a Posteriori Methods, Variable resolution, Maximum Likelihood Method, HST Image Restoration

rlw@sundog.stsci.edu
Mon Apr 18 15:32:10 EDT 1994