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Image Restoration and Super-Resolution by Novel Applications of a Neural Network

Next: Introduction

Image Restoration and Super-Resolution by Novel Applications of a Neural Network

Gordon Chin

NASA/GSFC, Code 693, Laboratory for Extraterrestrial Physics, Greenbelt, MD 20771

Stephen L. Mahan and William E. Blass

Department of Physics and Astronomy, University of Tennessee, Knoxville, TN 37996-1200

Abstract:

A new instrument paradigm is proposed based on the discovery of a method to determine a robust inverse point spread function for a scientific observing instrument modeled as a linear system. As a result of this discovery, it is possible to contemplate an instrumental extension which results in the recovery of a major portion of lost resolution due to the blurring effects of the PSF. Implementation of the instrumental extension and the resulting resolution enhancement is independent of prior knowledge of or access to the observed data. The method is applied to HST images as well as several one dimensional spectral data sets. Results of HST recoveries are compared to Richardson-Lucy recoveries.

rlw@sundog.stsci.edu
Mon Apr 18 12:13:37 EDT 1994