Newton type optimization for maximum likelihood blur identification and restoration

被引：0

作者：

Sari, F ^{[1
]}

机构：

[1] Informat Technol Res Inst Gebze, Sci & Tech Res Council Turkey, Kocaeli, Turkey

来源：

2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we formulate the blur identification problem as a ML problem and solve by employing a Newton type optimization method based on "The Method of Scoring". We provide a comparative analysis of EM and Newton type optimization methods.

引用

页码：3716 / 3719

页数：2

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