Title :
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
fDate :
4/1/1998 12:00:00 AM
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;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/3477.662762
