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.

引用

页码：517 / 521

页数：5

共 12 条

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