Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration
The iterative solution of unconstrained optimization problems has been found in a variety of significant applications of research areas, such as image restoration. In this paper, we present an efficient limited memory quasi-Newton technique based on symmetric rank-one updating formula to compute mea...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Springer Berlin Heidelberg
2014
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/34383/ http://link.springer.com/article/10.1007%2Fs13369-014-1357-3 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Putra Malaysia |
| id |
my.upm.eprints.34383 |
|---|---|
| record_format |
eprints |
| spelling |
my.upm.eprints.343832016-01-18T06:14:33Z http://psasir.upm.edu.my/id/eprint/34383/ Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration Khiyabani, Farzin Modarres Leong, Wah June The iterative solution of unconstrained optimization problems has been found in a variety of significant applications of research areas, such as image restoration. In this paper, we present an efficient limited memory quasi-Newton technique based on symmetric rank-one updating formula to compute meaningful solutions for large-scale problems arising in some image restoration problems. Numerical experiments and comparisons on various well-known methods in the literature are presented to illustrate the effectiveness of the proposed method particularly for images of large size. Springer Berlin Heidelberg 2014 Article PeerReviewed Khiyabani, Farzin Modarres and Leong, Wah June (2014) Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration. Arabian Journal for Science and Engineering, 39 (11). pp. 7823-7838. ISSN 1319-8025; ESSN: 1319-8025 http://link.springer.com/article/10.1007%2Fs13369-014-1357-3 10.1007/s13369-014-1357-3 |
| institution |
Universiti Putra Malaysia |
| building |
UPM Library |
| collection |
Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Putra Malaysia |
| content_source |
UPM Institutional Repository |
| url_provider |
http://psasir.upm.edu.my/ |
| description |
The iterative solution of unconstrained optimization problems has been found in a variety of significant applications of research areas, such as image restoration. In this paper, we present an efficient limited memory quasi-Newton technique based on symmetric rank-one updating formula to compute meaningful solutions for large-scale problems arising in some image restoration problems. Numerical experiments and comparisons on various well-known methods in the literature are presented to illustrate the effectiveness of the proposed method particularly for images of large size. |
| format |
Article |
| author |
Khiyabani, Farzin Modarres Leong, Wah June |
| spellingShingle |
Khiyabani, Farzin Modarres Leong, Wah June Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| author_facet |
Khiyabani, Farzin Modarres Leong, Wah June |
| author_sort |
Khiyabani, Farzin Modarres |
| title |
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| title_short |
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| title_full |
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| title_fullStr |
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| title_full_unstemmed |
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| title_sort |
limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration |
| publisher |
Springer Berlin Heidelberg |
| publishDate |
2014 |
| url |
http://psasir.upm.edu.my/id/eprint/34383/ http://link.springer.com/article/10.1007%2Fs13369-014-1357-3 |
| _version_ |
1643831137605255168 |