NDLI: Minimum entropy restoration of star field images

Content Provider	IEEE Xplore Digital Library
Author	Hai-Shan Wu Barba, J.
Copyright Year	1996
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.
Starting Page	227
Ending Page	231
Page Count	5
File Size	167932
File Format	PDF
ISSN	10834419
Volume Number	28
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-04-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Image restoration Mean square error methods Additive noise Signal restoration Deconvolution Simulated annealing Gaussian noise Filtering algorithms Performance evaluation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Human-Computer Interaction Computer Science Applications Software

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