Minimum entropy restoration of star field images

by: Hai-Shan Wu, J Barba

Systems, Man and Cybernetics, Part B, IEEE Transactions on, Vol. 28, No. 2. (1998), pp. 227-231.

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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

@article{citeulike:1081942, 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}, author = {Wu, Hai-Shan and Barba, J. }, citeulike-article-id = {1081942}, journal = {Systems, Man and Cybernetics, Part B, IEEE Transactions on}, keywords = {eusipco07}, number = {2}, pages = {227--231}, posted-at = {2007-02-01 11:41:26}, priority = {2}, title = {Minimum entropy restoration of star field images}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=662762}, volume = {28}, year = {1998} }

RIS record

TY - JOUR ID - citeulike:1081942 L3 - citeulike-article-id:1081942 TI - Minimum entropy restoration of star field images JF - Systems, Man and Cybernetics, Part B, IEEE Transactions on VL - 28 IS - 2 SP - 227 EP - 231 N2 - 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 KW - eusipco07 AU - Wu, Hai-Shan AU - Barba, J PY - 1998/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=662762 ER -

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