DocumentCode
2880129
Title
Newton type optimization for Maximum Likelihood blur identification and restoration
Author
Sari, Faruk
Author_Institution
The Scientific and Technical Research Council of Turkey, Information Technologies Research Institute Gebze, Kocaeli, Türkiye
Volume
4
fYear
2002
fDate
13-17 May 2002
Abstract
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.
Keywords
Convergence; Degradation; Image restoration; Integrated optics; Optical imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location
Orlando, FL, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.2002.5745463
Filename
5745463
Link To Document