 |
 |
Astron. Astrophys. 324, 735-742 (1997)
Fast maximum entropy restoration of low-noise solar images
K. Arzner and
A. Magun
Institute of Applied Physics, University of Berne
Sidlerstrasse 5, CH-3012 Bern, Switzerland
Received 31 July 1996 / Accepted 17 January 1997
Abstract
Maximum Entropy (ME) deconvolution has become a widely used
approach for image restoration. Although it has many attractive
features, its computational burden is considerably larger than for
competing linear inversion techniques. The present work accelerates ME
restoration by using linear techniques within the ME framework and
proposes a simple and fast algorithm which is applicable to low-noise
(![[FORMULA]](img1.gif)
) images. The algorithm is tested in numerical
simulations, compared to well-known algorithms and applied to solar
radio maps obtained by a scanning antenna.
Key words: techniques: image
processing 
methods:
numerical
Sun: general
Send offprint requests to: K. Arzner
Contents
- 1. Introduction
- 2. Fast algorithm
- 3. Numerical simulations
- 4. Application to solar images
- 5. Summary
- Acknowledgements
- References
© European Southern Observatory (ESO) 1997
Online publication: May 26, 1998
helpdesk.link@springer.de