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
收藏
页码:3716 / 3719
页数:2
相关论文
共 50 条