![](/images/graphics-bg.png)
Two New Efficient Iterative Regularization Methods for Image Restoration Problems
Joint Authors
Deng, Liang-Jian
Zhao, Chao
Zhao, Xi-le
Huang, Ting-Zhu
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Iterative regularization methods are efficient regularization tools for image restoration problems.
The IDR(s) and LSMR methods are state-of-the-arts iterative methods for solving large linear systems.
Recently, they have attracted considerable attention.
Little is known of them as iterative regularization methods for image restoration.
In this paper, we study the regularization properties of the IDR(s) and LSMR methods for image restoration problems.
Comparative numerical experiments show that IDR(s) can give a satisfactory solution with much less computational cost in some situations than the classic method LSQR when the discrepancy principle is used as a stopping criterion.
Compared to LSQR, LSMR usually produces a more accurate solution by using the L-curve method to choose the regularization parameter.
American Psychological Association (APA)
Zhao, Chao& Huang, Ting-Zhu& Zhao, Xi-le& Deng, Liang-Jian. 2013. Two New Efficient Iterative Regularization Methods for Image Restoration Problems. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-448021
Modern Language Association (MLA)
Zhao, Chao…[et al.]. Two New Efficient Iterative Regularization Methods for Image Restoration Problems. Abstract and Applied Analysis No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-448021
American Medical Association (AMA)
Zhao, Chao& Huang, Ting-Zhu& Zhao, Xi-le& Deng, Liang-Jian. Two New Efficient Iterative Regularization Methods for Image Restoration Problems. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-448021
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448021