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...

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Main Authors: Khiyabani, Farzin Modarres, Leong, Wah June
Format: Article
Published: Springer Berlin Heidelberg 2014
Online Access:http://psasir.upm.edu.my/id/eprint/34383/
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author Khiyabani, Farzin Modarres
Leong, Wah June
author_facet Khiyabani, Farzin Modarres
Leong, Wah June
author_sort Khiyabani, Farzin Modarres
building UPM Institutional Repository
collection Online Access
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.
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institution Universiti Putra Malaysia
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spelling upm-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
spellingShingle Khiyabani, Farzin Modarres
Leong, Wah June
Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration
title 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_short 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
url http://psasir.upm.edu.my/id/eprint/34383/
http://psasir.upm.edu.my/id/eprint/34383/
http://psasir.upm.edu.my/id/eprint/34383/