Physics
Scientific paper
Apr 1998
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1998itsmc..28..227w&link_type=abstract
IEEE Trans. Syst. Man Cybern. B, Cybern., Vol. 28, No. 2, p. 227 - 231
Physics
Image Restoration
Scientific paper
The authors 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 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.
Barba Jesus
Wu Hai-Shun
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