IMAGE RECOVERY BY CONVEX PROJECTIONS USING A LEAST-SQUARES CONSTRAINT

被引：93
|
作者：
PODILCHUK, CI
MAMMONE, RJ
机构：
[1] Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ
来源：
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 1990年 / 7卷 / 03期
关键词：
D O I：
10.1364/JOSAA.7.000517
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We introduce a new convex constraint for image recovery using the method of projection onto convex sets. The set of least-squares solutions to the image-recovery problem is shown to form a convex set. The projection operator onto this set is presented. The resulting least-squares projection method is shown to provide improved performance over conventional projection techniques. © 1990 Optical Society of America.
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页码：517 / 521
页数：5
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