Minimum entropy restoration of star field images

Author

Wu, Hai-Shan ; Barba, Joseph

Author_Institution

Dept. of Pathology, Mount Sinai Sch. of Med., New York, NY, USA

Volume

28

Issue

2

fYear

1998

fDate

4/1/1998 12:00:00 AM

Firstpage

227

Lastpage

231

Abstract

In this correspondence, we present an algorithm for restoration of star field images by incorporating both the minimum mean square error and the maximum varimax criteria. It is assumed that the point spread function of the distortion system can be well approximated by a Gaussian function. Simulated annealing (SA) is used to implement the optimization procedure. Simulation results for both Gaussian and square point spread functions with heavy additive independent white Gaussian noise are provided. Visual evaluation of the results indicate that the proposed algorithm performs better than the noncausal Wiener filtering method

Keywords

Gaussian noise; astronomical techniques; astronomy computing; image restoration; optical transfer function; simulated annealing; Gaussian; maximum varimax criteria; minimum mean square error; restoration; simulated annealing; square point spread functions; star field images; white Gaussian noise; Additive noise; Deconvolution; Entropy; Filtering algorithms; Gaussian noise; Image restoration; Mean square error methods; Performance evaluation; Signal restoration; Simulated annealing;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.662762

Filename

662762