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Total Variation Image Restoration Method Based on Subspace Optimization
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-21
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The alternating direction method is widely applied in total variation image restoration.
However, the search directions of the method are not accurate enough.
In this paper, one method based on the subspace optimization is proposed to improve its optimization performance.
This method corrects the search directions of primal alternating direction method by using the energy function and a linear combination of the previous search directions.
In addition, the convergence of the primal alternating direction method is proven under some weaker conditions.
Thus the convergence of the corrected method could be easily obtained since it has same convergence with the primal alternating direction method.
Numerical examples are given to show the performance of proposed method finally.
American Psychological Association (APA)
Liu, XiaoGuang& Gao, XingBao. 2018. Total Variation Image Restoration Method Based on Subspace Optimization. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208606
Modern Language Association (MLA)
Liu, XiaoGuang& Gao, XingBao. Total Variation Image Restoration Method Based on Subspace Optimization. Mathematical Problems in Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1208606
American Medical Association (AMA)
Liu, XiaoGuang& Gao, XingBao. Total Variation Image Restoration Method Based on Subspace Optimization. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1208606
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208606