Title :
Cross Burg entropy maximization and its application to ringing suppression in image reconstruction
Author :
Cao, Yu ; Eggermont, Paul P B ; Terebey, Susan
Author_Institution :
KLA-Tencor Corp., San Jose, CA, USA
fDate :
2/1/1999 12:00:00 AM
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
Keywords :
astronomical techniques; convergence of numerical methods; image reconstruction; infrared astronomy; iterative methods; maximum entropy methods; IRAS; cross Burg entropy maximization; image reconstruction; infrared astronomical satellite data; iterative scheme; log entropy; multiplicative algorithm; partial convergence proof; point sources; reduced ringing; ringing suppression; Artificial satellites; Astronomy; Convergence; Energy measurement; Entropy; Extraterrestrial measurements; Frequency; Image reconstruction; Iterative algorithms; Photometry;
Journal_Title :
Image Processing, IEEE Transactions on
