Cross Burg entropy maximization and its application to ringing suppression in image reconstruction

Authors:
Yu Cao;P. P.B. Eggermont;S. Terebey
Affiliations:
KLA-Tencor Corp., San Jose, CA;-;-
Venue:
IEEE Transactions on Image Processing
Year:
1999

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Abstract

We present a multiplicative algorithm for image reconstruction, together with a partial convergence proof. The iterative scheme aims to maximize cross Burg entropy between modeled and measured data. Its application to infrared astronomical satellite (IRAS) data shows reduced ringing around point sources, compared to the EM (Richardson-Lucy) algorithm