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Regularization and Smoothing for the Restoration of Hubble Space <BR>Telescope Images


Next: Introduction

Regularization and Smoothing for the Restoration of Hubble Space
Telescope Images

P. Benvenuti

ST-ECF, Karl-Schwarzschild-Str. 2, D-85748 Garching, Germany

F. Maggio

CRS4, Via N. Sauro 10, I-09123 Cagliari, Italy

S. Seatzu

Dipartimento di Matematica, Universitá di Cagliari, Via Merello 92, I-09123 Cagliari, Italy

Abstract:

Two numerical methods for the restoration of noisy images from the Hubble Space Telescope are presented. The first one stems from a B-spline expansion followed by the Tikhonov regularization method. The second one is based on a coarse smoothing coupled with the Tikhonov regularization. The effectiveness of these methods is illustrated by the restoration of some images already proposed in the literature.

Keywords: Regularization, sampling theorem, multiresolution analysis

rlw@sundog.stsci.edu
Fri Apr 15 18:53:32 EDT 1994