DEBLURRING SUBJECT TO NONNEGATIVITY CONSTRAINTS

被引：174

作者：

SNYDER, DL ^{[1
]}

SCHULZ, TJ ^{[1
]}

OSULLIVAN, JA ^{[1
]}

机构：

[1] ENVIRONM RES INST MICHIGAN,ANN ARBOR,MI 48107

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1992年 / 40卷 / 05期

关键词：

D O I：

10.1109/78.134477

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Csiszar's I-divergence is used as a discrepancy measure for deblurring subject to the constraint that all functions involved are nonnegative. An iterative algorithm is proposed for minimizing this measure. It is shown that every function in the sequence is nonnegative and that the sequence converges monotonically to a global minimum. Other properties of the algorithm are shown, including lower bounds on the improvement in the I-divergence at each step of the algorithm and on the difference between the I-divergence at step k and at the limit point. A method for regularizing the solution is proposed.

引用

页码：1143 / 1150

页数：8

共 27 条

[1] DILUTE APERTURE DIFFRACTION IMAGERY AND OBJECT RECONSTRUCTION [J].