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